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DTSTART;TZID=Europe/Stockholm:20220202T090000
DTEND;TZID=Europe/Stockholm:20220204T170000
DTSTAMP:20260415T140149
CREATED:20211109T084020Z
LAST-MODIFIED:20211111T104547Z
UID:10000482-1643792400-1643994000@www.scilifelab.se
SUMMARY:Single Cell RNA-seq data analysis
DESCRIPTION:This workshop will introduce the best practice bioinformatics methods for processing and analyses of single cell RNA-seq data via a series of online lectures and computer practicals. The total course duration is 45 hours\, including the online lectures (15 hours) to be watched in advance and practical workshop that will be held on site in Stockholm (30 hours). The practical session is divided into both analysis overview and a Bring-Your-Own-Data (BYOD) day. \n\n\n\nDates \n\n\n\n2022-02-02 to 2022-02-04 on site (9:00 – 17:00) \n\n\n\nVenue \n\n\n\nRooms Air & Fire \n\n\n\nTomtebodavägen 23b\, SciLifeLab Solna\, Stockholm\, Sweden \n\n\n\nImportant dates \n\n\n\nApplication open: 2021-11-05 \n\n\n\nApplication deadline: 2021-12-16 \n\n\n\nCourse Leaders \n\n\n\nPaulo Czarnewski & Åsa Björklund \n\n\n\nContact information for questions regarding the course \n\n\n\nCourse Website\n\n\n\nEmail: edu.sc@nbis.se \n\n\n\nCourse feeThis workshop has a fee of 1700kr and will be invoiced to the selected participants *. Applications without complete invoice information will not be considered. Course fees cover all coffee breaks\, all lunches and 1 course dinner. \n\n\n\n* Please note that NBIS cannot invoice individuals. \n\n\n\nTopics covered will include \n\n\n\nOverview of the current scRNAseq technologiesBasic overview of pipelines for processing raw reads into expression valuesQuality control and normalizationDimensionality reduction techniquesData integration and batch correctionDifferential gene expressionClustering techniquesCelltype predictionTrajectory inference analysisAnalysis of spatial transcriptomics datasetsComparison of different analysis pipelines such as Seurat\, Scran and Scanpy\n\n\n\nWho can apply? \n\n\n\nThis is a national course. The course is open for PhD students\, postdocs\, group leaders and core facility staff within all Swedish universities. We do accept application from other countries\, but give priority to applicants from Swedish universities prior to applicants from industry and academics from other countries. \n\n\n\nPlease note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits\, however the estimated credits are just guidelines. If formal credits are crucial\, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not. \n\n\n\nPractical exercises will be performed using either R or Python\, so we only accept students that fulfill the entry requirements (see below). NBIS offers \n\n\n\nEntry requirements \n\n\n\nRequired for being able to follow the course and complete the practial exercises: \n\n\n\nYour own laptop with the following specs:\n\nOperating system Win10\, OS X or Linux\nAt least 8 GB of RAM.\nOperating system Win10\, OS X or Linux\nAt least 30 GB of free storage\nHave full access to your computer (admin permissions).\n\nYou are used to scripting in:\n\nUNIX command line (bash)\nEither R and/or Python\n\nYou already understand the basis of NGS technologiesYou are able to analyze bulk RNA-sequencing dataInstructions on installation will be sent by email to accepted participants.\n\n\n\nDue to limited space the course can accommodate maximum of 25 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. \n\n\n\nLink to application \n\n\n\nRead more and register
URL:https://www.scilifelab.se/event/single-cell-rna-seq-data-analysis/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220328T090000
DTEND;TZID=Europe/Stockholm:20220401T170000
DTSTAMP:20260415T140149
CREATED:20211216T145021Z
LAST-MODIFIED:20220110T113421Z
UID:10000502-1648458000-1648832400@www.scilifelab.se
SUMMARY:Introduction to bioinformatics using NGS data - ONLINE
DESCRIPTION:National workshop for PhD students\, postdocs\, researchers\, and other employees within or affiliated to Swedish academia. This workshop is organized by the National Bioinformatics Infrastructure Sweden (NBIS) and National Genomics Infrastructure (NGI). \n\n\n\nDue to the Covid-19 situation\, this workshop will be held online. \n\n\n\nIf you have questions regarding the workshop\, please email: edu.intro-ngs@nbis.se \n\n\n\nImportant dates\n\n\n\nApplication opens:  10 January 2022 \n\n\n\nApplication closes: 27 February 2022 \n\n\n\nConfirmation to accepted students:  Week 9\, 2022 \n\n\n\nResponsible teachers:  Malin Larsson\, Martin Dahlö\, Roy Francis \n\n\n\nCourse fee\n\n\n\nThis online training event has no fee. However\, if you accept a position at the workshop and do not participate (no-show) you will be invoiced 2000 SEK workshop fee* \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\nCourse description\n\n\n\nThis is an intense one-week beginner level workshop that introduces the analysis of next generation sequencing (NGS) data. Lectures on the theory of concepts will be paired with practical computational exercises in the Linux environment. The practical exercises will focus on data from the Illumina platform\, but we will discuss other sequencing platforms and the advantages and challenges to using their data during the lectures. \n\n\n\nAfter this workshop you should be able to: \n\n\n\n●      Use the Linux command line interface to manage simple file processing operations and organize directory structures. \n\n\n\n●      Connect to and work on a remote high performance compute cluster. \n\n\n\n●      Apply programs in Linux for analysis of NGS data. \n\n\n\n●      Describe the basic principles of NGS. \n\n\n\n●      Summarise the applications of current NGS technologies\, including the weakness and strengths of the approaches and when it is appropriate to use which one of them. \n\n\n\n●      Explain common NGS file formats. \n\n\n\n●      Interpret quality control of NGS reads. \n\n\n\n●      Explain the steps involved in variant calling using whole genome sequencing data. \n\n\n\n●      Independently perform a basic variant calling workflow on example data. \n\n\n\n●      Explain the steps involved in differential gene expression using RNA seq data. \n\n\n\n●      Independently perform differential gene expression analysis on example data. \n\n\n\nEntry requirements\n\n\n\nA background in genetics\, cell biology\, biomedicine\, biochemistry\, bioinformatics or comparable is desirable. To get the maximum benefit from the workshop we would like you to: \n\n\n\n●      Have relevant previous experience in sequencing or analysis. \n\n\n\n●      Have a research project where you are currently using next generation sequencing or are planning to use next generation sequencing. \n\n\n\n●      It is beneficial if you are directly performing analyses or if you have a support role and will be able to participate in a wide range of projects and transfer your knowledge to others. \n\n\n\n\n\n\n\nSelection criteria include correct entry requirements\, motivation to attend the workshop as well as gender and geographical balance. \n\n\n\nDue to the high volume of applications from Swedish institutions\, we currently do not accept international applicants. \n\n\n\n\n\n\n\n\nAPPLICATION
URL:https://www.scilifelab.se/event/introduction-to-bioinformatics-using-ngs-data-online-3/
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220405T080000
DTEND;TZID=Europe/Stockholm:20220407T170000
DTSTAMP:20260415T140149
CREATED:20211202T132557Z
LAST-MODIFIED:20211202T132705Z
UID:10000497-1649145600-1649350800@www.scilifelab.se
SUMMARY:Introduction to Data Management Practices
DESCRIPTION:National course open for PhD students\, postdocs\, researchers and other employees within all Swedish universities. This course will introduce important aspects of Research Data Management through a series of lectures and hands-on computer exercises. The course is intended for researchers that want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data. \n\n\n\nNote: We follow the recommendations and guidelines from Swedish authorities and Folkhälsomyndigheten. The course is designed to be an interactive face-to-face event. However\, we follow the situation carefully and will deliver the course online if needed. \n\n\n\n\n\n\n\n\nCOURSE WEBSITE\n\n\n\nAPPLICATION\n\n\n\n\n\n\n\n\nContact: edu.intro-dm@nbis.se \n\n\n\nImportant dates\n\n\n\nApplication is open now \n\n\n\nApplication closes: 2022-03-15 \n\n\n\nConfirmation to accepted students: 2022-03-21 \n\n\n\nCourse fee\n\n\n\n1500 SEK paid by invoice to NBIS. This includes lunches\, coffee and snacks. Please note that NBIS cannot invoice individuals. \n\n\n\nDue to limited space the course can accommodate a maximum of 25 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. \n\n\n\nEntry requirements\n\n\n\nNo previous programming experience is required but you are required to bring your own laptop with the required software pre-installed. \n\n\n\nInstallation instructions will be provided before the course starts. \n\n\n\nCourse content\n\n\n\nTopics covered will include: \n\n\n\n  • Open Science and FAIR in practice \n\n\n\n  • Organising data\, files and folders in research projects \n\n\n\n  • Versioning data\, documents and scripts with Git \n\n\n\n  • Describing data with metadata \n\n\n\n  • Cleaning tabular data and metadata with OpenRefine \n\n\n\n  • Submitting data to public data repositories \n\n\n\n  • Writing basic recipes for data analysis and visualisation with R \n\n\n\n(Links to an external site.) \n\n\n\n\n\n\n\nLearning objectives: \n\n\n\n  • To get acquainted with\, and reflect upon\, the principles of Open \n\n\n\nScience and FAIR \n\n\n\n  • To understand the importance of metadata\, and how it affects \n\n\n\n“FAIRness” \n\n\n\n  • To learn how to organise files to make project work more efficient \n\n\n\n  • To learn to clean up messy tabular data and metadata \n\n\n\n  • To learn how to find\, and submit to\, relevant public repositories for \n\n\n\ndata publication \n\n\n\n  • To learn to apply simple version control practices on files \n\n\n\n  • To learn to start using R to analyse data
URL:https://www.scilifelab.se/event/introduction-to-data-management-practices-2/
LOCATION:Navet\, SciLifeLab Uppsala\, SciLifeLab Uppsala\, BMC C11\, Husargatan 3\, Uppsala\, 75237\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220425T090000
DTEND;TZID=Europe/Stockholm:20220429T153000
DTSTAMP:20260415T140149
CREATED:20220131T095506Z
LAST-MODIFIED:20220201T080802Z
UID:10000518-1650877200-1651246200@www.scilifelab.se
SUMMARY:NBIS/ELIXIR-SE Tools for Reproducible Research - ONLINE
DESCRIPTION:NBIS / ELIXIR-SE course is open for PhD students\, postdocs\, group leaders and core facility staff interested in making their computational analysis more reproducible. International applications are welcome\, but we will give approximately half of the participant slots to applicants from Swedish universities at minimum\, due to the national role NBIS plays in Sweden. \n\n\n\nThe course is organized by NBIS (ELIXIR-SE). \n\n\n\nResponsible teachers: John Sundh\, Erik Fasterius \n\n\n\nContact information: edu.trr@nbis.se \n\n\n\n\n\n\n\n\n\nAPPLICATION\n\n\n\n\n\nCOURSE WEBSITE\n\n\n\n\n\nImportant dates\n\n\n\nApplication open: Feb 1\, 2022 \n\n\n\nApplication deadline: Mar 25\, 2022 \n\n\n\nConfirmation to accepted participants: Apr 1\, 2022 \n\n\n\nCourse fee\n\n\n\nThis online training event has no fee. However\, if you accept a position at the workshop and do not participate (no-show) you will be invoiced 2\,000 SEK. \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\nCourse description\n\n\n\nOne of the key principles of proper scientific procedure is the act of repeating an experiment or analysis and being able to reach similar conclusions. Published research based on computational analysis\, e.g. bioinformatics or computational biology\, have often suffered from incomplete method descriptions (e.g. list of used software versions); unavailable raw data; and incomplete\, undocumented and/or unavailable code. This essentially prevents any possibility of attempting to reproduce the results of such studies. The term “reproducible research” has been used to describe the idea that a scientific publication based on computational analysis should be distributed along with all the raw data and metadata used in the study\, all the code and/or computational notebooks needed to produce results from the raw data\, and the computational environment or a complete description thereof. \n\n\n\nReproducible research not only leads to proper scientific conduct but also provides other researchers the access to build upon previous work. Most importantly\, the person setting up a reproducible research project will quickly realize the immediate personal benefits: an organized and structured way of working. The person that most often has to reproduce your own analysis is your future self! \n\n\n\nCourse content\n\n\n\nTopics covered: \n\n\n\nGood practices for data analysisVersion control and collaborative code developmentPackage and environment managementWorkflow managementDocumentation and reportingContainerized computational environments\n\n\n\n\n\n\n\nLearning outcomesBy the end of the course the student will be able to: \n\n\n\nOrganize and structure computational projectsTrack changes and collaborate on code using GitInstall packages and manage software environments using CondaStructure computational steps into workflows with Snakemake and NextflowCreate automated reports and document their analyses with RMarkdown and JupyterPackage and distribute computational environments using Docker and Singularity\n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and to complete computer exercises: \n\n\n\nFamiliarity with using the terminal (e.g. be familiar with commands such as ls\, cd\, touch\, mkdir\, pwd\, wget\, man\, etc.)A computer with a webcamYou will be asked to install the video conferencing software zoom (https://zoom.us/) to be able to participate in the courseSome knowledge in R and/or python is beneficial but not strictly required\n\n\n\nSelection criteria\n\n\n\nThe course can accommodate 20 participants. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. Academic affiliated registrants are prioritized prior to participants from the industry.  \n\n\n\nPlease note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits\, however the estimated credits are just guidelines. If formal credits are crucial\, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not.
URL:https://www.scilifelab.se/event/nbis-elixir-se-tools-for-reproducible-research-online/
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220427T080000
DTEND;TZID=Europe/Stockholm:20220429T170000
DTSTAMP:20260415T140149
CREATED:20220125T121449Z
LAST-MODIFIED:20220128T090507Z
UID:10000517-1651046400-1651251600@www.scilifelab.se
SUMMARY:Workshop on Data Visualization in R - Lund
DESCRIPTION:National course open for PhD students (prioritized)\, postdocs\, researchers and other employees within all Swedish universities interested in learning to plot using different packages in R. \n\n\n\nThe course is organized by NBIS (ELIXIR-SE). \n\n\n\nResponsible teachers: Lokeshwaran Manoharan\, Louella Vasquez\, Markus Ringner \n\n\n\nContact information: edu.plotting.r@nbis.se \n\n\n\n\n\n\n\naPPLY HERE\n\n\n\n\n\n\n\n\n\nCOURSE WEBSITE\n\n\n\n\n\nImportant dates\n\n\n\nApplication open: Jan 31\, 2022 \n\n\n\nApplication deadline: Mar 18\, 2022 \n\n\n\nConfirmation to accepted participants: Mar 25\, 2022 \n\n\n\nCourse fee\n\n\n\nThis training event has no fee. However\, if you accept a position at the workshop and do not participate (no-show) you will be invoiced 2000 SEK. \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\nCourse description\n\n\n\nThis course aims to help researchers to visualize their data in different ways using R. This course will also aim to show researchers how they can make publication grade figures using R. A part of this course is also about making interactive plots that the researchers can view and share in a web-server to make interactive visualizations of the data. \n\n\n\nCourse content\n\n\n\nIn this course you will learn how to visualize your data in R. \n\n\n\nIn particular\, you will learn: \n\n\n\n·          how to format the data necessary for ggplot \n\n\n\n·          how to make bar-charts\, box-plots and others using ggplot \n\n\n\n·          how to make PCA plots in ggplot \n\n\n\n·          how to use R packages for heatmaps \n\n\n\n·          how to plot data on maps using R (optional) \n\n\n\n·          how to plot and handle phylogenetic trees in R (optional) \n\n\n\n·          how to make interactive plots in R using Rshiny \n\n\n\n·          how to host a Rshiny app in one of the available servers \n\n\n\nLearning outcomes\n\n\n\nBy the end of the course the participant will be able to: \n\n\n\n·          handle data in R for visualizations \n\n\n\n·          apply the grammar efficiently in ggplot to get the desired plot \n\n\n\n·          combine different data and/or different plots that are of publication-grade \n\n\n\n·          write your own simple Rshiny app \n\n\n\n·          deploy Rshiny apps in public servers.  \n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and to complete computer exercises: \n\n\n\nfamiliarity with using R and Rstudioa computer with R and Rstudioyou will be asked to install different R packages necessary for the course prior to the course. \n\n\n\nSelection criteria\n\n\n\nThe course can accommodate 25 participants. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. Academic affiliated registrants are prioritized prior to participants from the industry. \n\n\n\nPlease note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits\, however the estimated credits are just guidelines. If formal credits are crucial\, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not.
URL:https://www.scilifelab.se/event/workshop-on-data-visualization-in-r-lund/
LOCATION:Retina D227\, Biologihuset\, Sölvegatan 35\, Lund\, 223 62
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220502T080000
DTEND;TZID=Europe/Stockholm:20220506T170000
DTSTAMP:20260415T140149
CREATED:20220224T100439Z
LAST-MODIFIED:20220224T131919Z
UID:10000535-1651478400-1651856400@www.scilifelab.se
SUMMARY:Spatial analysis of gene expression in tissues
DESCRIPTION:Single-cell genomics technologies have become widely used to study heterogeneous and dynamic biological systems. In order to meet the growing demand for a deeper understanding of tissue profiling\, a number of different spatial transcriptomics approaches have been developed and applied successfully. \n\n\n\nThe goal of this practical course is to provide participants with an overview of the different spatially resolved transcriptome mapping techniques\, learn about the differences and advantages of each technique\, and how to choose and employ the techniques when designing their study. \n\n\n\nThe course includes practical work with hands-on wet-lab work and imaging sessions as well as primary data analysis for three technologies in two practical formats: Visium/Spatial Transcriptomics (ST) as an unbiased method\, and In Situ Sequencing (ISS)/Scrinshot as targeted methods. \n\n\n\nThe lectures will cover the following topics: Visium/ST\, ISS/Scrinshot\, osmFISH\, seqFISH+\, Slide-seqV2\, MERFISH\, CellPhoneDB as well as Human Cell Atlas. \n\n\n\nThe course is aimed at the graduate student and postdoctoral level\, but applications from scientists at all levels are welcome.Registration deadline: 18 March \n\n\n\nRead more and register\n\n\n\n\n\n\n\nCourse Flyer
URL:https://www.scilifelab.se/event/spatial-analysis-of-gene-expression-in-tissues/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Course
ORGANIZER;CN="Joakim Lundeberg":MAILTO:joakim.lundeberg@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220510T120000
DTEND;TZID=Europe/Stockholm:20220513T160000
DTSTAMP:20260415T140149
CREATED:20220224T125406Z
LAST-MODIFIED:20220302T073938Z
UID:10000536-1652184000-1652457600@www.scilifelab.se
SUMMARY:Nordic ELIXIR-GOBLET Train-the-Trainer - Online
DESCRIPTION:This course offers guidance\, ideas and tips for designing training/teaching\, development and delivery on training activities\, all based on research-driven educational principles. This course will cover 4 main topics: \n\n\n\nLearning principles and how they apply to training and teachingDesign and plan session\, course\, materialsTeaching techniques to enhance learner engagement and participationAssessment and feedback in training and teaching\n\n\n\n\n\n\n\nNote! The course is highly interactive and hence it is important that you\, as a participant\, actively contribute to all sessions and elements of the course \n\n\n\nThis course will be delivered through Canvas learning management system.  \n\n\n\nCourse Time: 12:00 – 16:00 CETCourse Format: Online via Zoom and it will include breakout sessions \n\n\n\n\n\n\n\nContact\n\n\n\nFor queries\, please don’t hesitate to contact us at education@nbis.se \n\n\n\n\n\n\n\n\nCOURSE WEBSITE AND PROGRAM\n\n\n\nREGISTRATION\n\n\n\n\n\n\n\n\nDeadline for applying to the course is 3rd of April. You will receive notification regarding acceptance to the course or if you are on the reserve list no later than one week after the closing of the registration. \n\n\n\n\n\n\n\nCourse fee\n\n\n\nThere is no course attendance fee. \n\n\n\nNote! If you are accepted and decide not to attend without communicating the reason for the no-show with us\, we will invoice a no-show-fee of 200 Euros. \n\n\n\nThe invoicing information needs to be included in the registration in order to guarantee your spot in the training event\, if you are to be accepted. By giving the invoice information you hereby confirm that the group leader/PI/manager has given a consent regarding your possible participation in the Training event. NOTE – Uppsala University cannot invoice individuals. \n\n\n\n\n\n\n\nCourse content\n\n\n\nLearning Objectives: \n\n\n\nTo get acquainted with Learning principles and how they apply to trainingTo be able to select and use training techniques that can help enhance learner engagement and participationTo learn how to use assessment and feedback in trainingTo learn about session\, course\, and materials design\n\n\n\nLearning Outcome: \n\n\n\nBy the end of this course\, learners will be able to: \n\n\n\nName learning principles that a good teacher/instructor should have in mindDescribe at least three training techniques\, drawing on learning principlesDesign a training session and a courseDevelop assessment questionnairesEnumerate types of materials needed for each part of a training session or course\n\n\n\n\n\n\n\nTarget audience\n\n\n\nWhoever is interested in becoming a trainer/instructor\, or improving your training skills. If you have questions like the following ones\, this course may be very helpful to you. \n\n\n\nHow learning works?How do I use learning principles and theories to improve my teaching/training?How do I make my teaching/training more engaging and effective?How should I adjust my teaching/training to different types of learners?How do I ensure learning progress?How can I assess whether my students are actually understanding my lessons? Are they actually learning?What is the best balance between theory and practice?How can I best assess whether learning is occurring and/or has occurred?What works in a classroom and what doesn’t?\n\n\n\n\n\n\n\nSelection criteria\n\n\n\nWe will accept a maximum of 20 participants. Priority will be given to applicants from institutes and organisations across the Nordic research community and to participants from Nordic ELIXIR nodes. \n\n\n\n\n\n\n\nCourse team\n\n\n\nInstructors: \n\n\n\nJessica Lindvall (ELIXIR-SE Training Coordinator\, NBIS\, Sweden \n\n\n\nNina Norgren (ELIXIR-SE\, Training Coordinator\, NBIS\, Sweden) \n\n\n\nNazeefa Fatima (ELIXIR-NO\, Data Steward\, UiO\, Norway) \n\n\n\nErik Hjerde (ELIXIR-NO\, Training Coordinator\, UiT\, Norway) \n\n\n\nPriit Adler (ELIXIR-EE\, Trainer\, UT\, Estonia) \n\n\n\nAllegra Via (ELIXIR-IT\, Training Coordinator\, IBPM-CNR\, IT) \n\n\n\nPatricia Palagi (ELIXIR-CH\, Training coordinator\, SIB) \n\n\n\nOrganisers: \n\n\n\nELIXIR-SE \n\n\n\nELIXIR-NO \n\n\n\nELIXIR-FI \n\n\n\nELIXIR-EE
URL:https://www.scilifelab.se/event/nordic-elixir-goblet-train-the-trainer-online/
LOCATION:Online event via Zoom
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220530T080000
DTEND;TZID=Europe/Stockholm:20220610T170000
DTSTAMP:20260415T140149
CREATED:20220203T142206Z
LAST-MODIFIED:20220210T134248Z
UID:10000520-1653897600-1654880400@www.scilifelab.se
SUMMARY:New Imaging and Fluctuation Methods: Super-Resolution\, Light-Sheet\, STED-FCS and FRET-FCS
DESCRIPTION:Web-based PhD-level course\, 3 hp credits\, by the ALM facility at Scilifelab. \n\n\n\nFlyer_220119\n\n\n\nLight-Sheet Imaging\n\n\n\nLong time-lapse imaging of live modelorganisms with low phototoxicityCombined light-sheet andsuper-resolution\n\n\n\nSuper-Resolution Imaging in Living Cells – MoNaLISA\n\n\n\nSmart probes50 nm resolution at 1-2 Hz100 x 100 um field of view time lapse imaging\n\n\n\n \n\n\n\nSTED-FCS\n\n\n\nFluctuation spectroscopy with 30 nm resolutionSub-diffraction dynamics in living cells\n\n\n\n \n\n\n\nFRET-FCS\n\n\n\nEasy detection of protein-protein interactions in living cellsHighly sensitive detection of rare oligomers in living cells\n\n\n\nLecturers\n\n\n\nAndreas BodénErdinc SezginIlaria TestaStefan Wennmalm\, stewen@kth.se \n\n\n\nRegistration\n\n\n\nPlease register by sending an e-mail with your contact details to: stewen@kth.se.Registration deadline: May 20\, 2022
URL:https://www.scilifelab.se/event/new-imaging-and-fluctuation-methods-super-resolution-light-sheet-sted-fcs-and-fret-fcs/
LOCATION:Online event via Zoom
CATEGORIES:Course
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220613T080000
DTEND;TZID=Europe/Stockholm:20220617T170000
DTSTAMP:20260415T140149
CREATED:20220413T114236Z
LAST-MODIFIED:20220413T135107Z
UID:10000583-1655107200-1655485200@www.scilifelab.se
SUMMARY:RaukR\, Advanced R for Bioinformatics - Online workshop
DESCRIPTION:International workshop. The workshop is open for researchers at university or in industry such as PhD students\, postdocs\, group leaders\, core facility staff and analysts. \n\n\n\nJoin us online this June to improve your R skills and have a nice time!In Life Science and Bioinformatics\, R is increasingly being used to transform and analyse data\, perform statistical analysis and produce publication-ready visualisations. This workshop will focus on advanced R functionality\, to increase the participants skillset and understanding of what is possible to do today. \n\n\n\nWhile we still cannot gather in Visby due variability of pandemic restrictions internationally\, we will have the workshop online! We hope that\, like last year\, we will learn a lot and have fun coding together! See you there! \n\n\n\nThe workshop is organised by NBIS.  \n\n\n\nResponsible teachers: Marcin Kierczak\, Sebastian DiLorenzo\, Roy FrancisContact: RaukR@NBIS.se \n\n\n\nYou are very welcome to apply or see the website for more information. Please\, help us spread the word to interested participants! \n\n\n\n\n\n\n\n\nAPPLICATION\n\n\n\nWEBSITE\n\n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication deadline: Fri\, 13.05.2022\, 24:00GMT \n\n\n\nNotification of acceptance/decline: Fri\, 20.05.2022 \n\n\n\nWorkshop fee\n\n\n\nAcademic: no fee this year. However\, if you register and will be admitted but you will not attend the event without a valid reason\, you will be charged a no-show fee (4000 SEK). \n\n\n\nParticipants from outside of academia should contact us for a fee quote. \n\n\n\nThe fee does not include travel costs. \n\n\n\nGuest speakers\n\n\n\nJenny Bryan (software engineer at RStudio\, Data science professor at UBC) Yihui Xie (software engineer at RStudio) Christophe Dervieux (software engineer at RStudio)  \n\n\n\nContent\n\n\n\nreproducible research in R (rmarkdown\, knitr)\,collaborative work using git and GitHub\, CD/CI\,R code style guidelines\,code debugging\, optimization and profiling\,parallelization and vectorization in R\,writing own functions – best practices\,understanding and using the system of R classes: S3\, S4\, R6 and RC\,anatomy of an R package: writing your own package from scratch\,code debugging\, profiling and optimization\,tidy data flow with tidyverse\,using the language of graphics\, ggplot2\,developing simple web applications using shiny\,R and Python integration using reticulate\n\n\n\nEntry requirements\n\n\n\nThe workshop is aimed at both Ph.D. students and researchers within Life Sciences who are already using R for basic bioinformatics analyses and who would like to start using R at a more advanced level. In order for you and other participants to benefit the most\, you should consider yourself eligible if you are comfortable with reading and transforming data\, installing and using third-party packages and plotting using standard R graphics. \n\n\n\nWe offer places for participants from all over the world\, but there is a number of places reserved for participants from Sweden. \n\n\n\nSelection criteria\n\n\n\nThis year\, we can accommodate ~30 participants. Selection criteria include correct entry requirements\, motivation to attend the workshop as well as gender and geographical balance.
URL:https://www.scilifelab.se/event/raukr-advanced-r-for-bioinformatics-workshop/
LOCATION:Online event via Zoom
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220627T080000
DTEND;TZID=Europe/Stockholm:20220630T170000
DTSTAMP:20260415T140149
CREATED:20220324T095451Z
LAST-MODIFIED:20220324T095820Z
UID:10000568-1656316800-1656608400@www.scilifelab.se
SUMMARY:Summer School in Transcriptomics during Development and Cancer
DESCRIPTION:Come to this beautiful Swedish inland scenario to learn the most advanced technologies to study transcriptional regulation.Sandvik Gård\, a beautiful conference centre and spa\, majestically situated on a lake in the forest of Östergötland – less than 2 hours south-west of Stockholm\, Sweden \n\n\n\nCourse overviewDates: 27 – 30 June 2022 \n\n\n\nThis course is designed for PhD students and Postdocs who work in the field studying the Transcriptional Control of the Genome during Embryonic Development\, Cell Differentiation\, and Disease\, or for those who would like to approach it. \n\n\n\nHere\, we will strive to provide each participating student with a robust theoretical foundation of the most important questions in the field\, and the spectrum of technologies that are currently under development to respond them. For example\, one of the primary focuses will be to discuss how to combine “wet” and “dry” technologies to address computationally demanding\, important biological questions. \n\n\n\nA key feature of this course will be the relatively low ratio between participants and teachers/speakers. This will allow each participant to come in close contact with successful scientists and learn how they developed key technologies to respond to pressing questions in their field. \n\n\n\nThe course will include talks\, group discussions and activities\, but no practical work. \n\n\n\nThe school will also include a short course on scientific writing for developmental and cancer biologists. \n\n\n\nCourse FlyerDownload
URL:https://www.scilifelab.se/event/summer-school-in-transcriptomics-during-development-and-cancer/
LOCATION:Sandvik Gård\, Sandvik Gård 1\, Åby\, Sweden
CATEGORIES:Course
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220821T080000
DTEND;TZID=Europe/Stockholm:20220902T170000
DTSTAMP:20260415T140149
CREATED:20220328T095502Z
LAST-MODIFIED:20220406T145719Z
UID:10000571-1661068800-1662138000@www.scilifelab.se
SUMMARY:Integrative Structural Biology Course
DESCRIPTION:InfraLife is preparing a course in integrative structural biology where we cover not only the basics of state-of-the-art structural biology techniques\, but also how to combine the information to address a biological question. The course will take place in August 21-September 2\, in Lund\, Gothenburg and Stockholm. \n\n\n\nRead more\n\n\n\napply now!\n\n\n\nWhat will the course cover? \n\n\n\nThe two week course is a joint effort between the three large-scale research infrastructures SciLifeLab\, MAX IV and ESS and additional related platforms. The aim is to give an overview of the structural biology available at the research infrastructures in Sweden. The course will focus on understanding the sample requirements\, the nature of structural information that can be obtained and how data from multiple structural biology methods can be combined using e.g. computational chemistry techniques. The course consists of lectures\, key note speakers\, modelling practicals and facility visits. In addition events allowing time for networking within the group of students\, the teachers and other infrastructure personnel\, contributing to an expanded professional network. \n\n\n\nTechnologies and methods \n\n\n\nMacromolecular X-ray and neutron crystallographySmall angle X-ray and neutron scatteringCryo-electron microscopyMacromolecular nuclear magnetic resonance spectroscopyStructural mass spectrometryComputational chemistry techniquesBiophysical characterization \n\n\n\nWho should attend? \n\n\n\nThe course is open to scientists of all age from academia\, health care and industry. Level approximately corresponding to PhD student or postdoc depending on experience. Applicants welcome from Sweden\, the Nordics\, and other countries.
URL:https://www.scilifelab.se/event/integrative-structural-biology-course/
CATEGORIES:Course
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2021/05/Infralife-square.jpg
ORGANIZER;CN="InfraLife":MAILTO:events@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220829T080000
DTEND;TZID=Europe/Stockholm:20220902T170000
DTSTAMP:20260415T140149
CREATED:20220524T092955Z
LAST-MODIFIED:20220714T084938Z
UID:10000616-1661760000-1662138000@www.scilifelab.se
SUMMARY:Spatial omics data analysis
DESCRIPTION:This workshop provides resources to advanced tools for analysis of spatial datasets via a series of online lectures and computer practicals. The total course duration is 40 hours\, including the online lectures and practical coding workshop that will be held online. \n\n\n\nImportant dates\n\n\n\nApplication open: 2022-05-20 \n\n\n\nApplication deadline: 2022-07-31 \n\n\n\n\n\n\n\nCourse Leaders\n\n\n\nPaulo CzarnewskiChristophe Avenel\n\n\n\n\n\n\n\nLecturers and content creators\n\n\n\nLars BormCarolina WählbyGiovanni PallaNaveed IshaqueAnna SchaarDavid FischerHanna SpitzerSergio SallasÅsa BjörklundSebastian TiesmeyerLudvig BergenstråleEduard Chelebian\n\n\n\n\n\n\n\nContact information and Application\n\n\n\n\n\n\n\n\nCourse website\n\n\n\nEmail\n\n\n\nApplication\n\n\n\n\n\n\n\n\nCourse fee\n\n\n\nThis workshop is free of charge. \n\n\n\n\n\n\n\nCourse content\n\n\n\nTopics covered will include \n\n\n\nHands-on experience with ST (Visium)\, ISS\, scRNAseq data analysisFluorescence-based image formats\, standards and quality controlImage alignment\, registration and ISS decodingNuclei-based and segmentation-free cell identificationData imputation using ISS and single cell datasetsAnalysis of Spatial Transcriptomics datasetCell-type deconvolution (ST and single cell)Cell-cell and ligand-receptor interaction analysisMapping of multiple spatial data to a common referenceHigh-resolution projection of gene expression to H&E imagesInteractive visualisation of spatial omics data\n\n\n\n\n\n\n\nWho can apply?\n\n\n\nThis is an international course hosted by the National Bioinformatics Infrastructure Sweden (ELIXIR-SE) in collaboration with the Human Developmental Cell Atlas (HDCA)\, the Royal Institute of Technology\, Stockholm University\, Karolinska Institutet\, Uppsala University\, Charité Clinical University (ELIXIR-DE)\, Helmholtz Munich (Germany) and the European Molecular Biology Organisation. The course is open for PhD students\, postdocs\, group leaders and core facility staff working on spatial omics technologies. \n\n\n\nPlease note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits\, however the estimated credits are just guidelines. If formal credits are crucial\, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not. \n\n\n\nPractical exercises will be performed in Python\, so we only accept students that fulfill the entry requirements (see below). \n\n\n\n\n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and complete the practical exercises: \n\n\n\nBasic knowledge in PythonBe able to use your own computer with a web cameraHave miniconda3 installed in your computerDesirable: Previous experience with single cell RNA-seq analysis is an advantage.If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance.\n\n\n\nDue to limited space the course can accommodate a maximum of 32 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance.
URL:https://www.scilifelab.se/event/spatial-omics-data-analysis/
LOCATION:Online event via Zoom
CATEGORIES:Course
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2022/03/AdobeStock_218922152_front-scaled.jpg
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220831T090000
DTEND;TZID=Europe/Stockholm:20220902T130000
DTSTAMP:20260415T140149
CREATED:20220511T071103Z
LAST-MODIFIED:20220511T071340Z
UID:10000604-1661936400-1662123600@www.scilifelab.se
SUMMARY:Snakemake BYOC (bring-your-own-code) workshop (ONLINE)
DESCRIPTION:National workshop open for PhD students (prioritized)\, postdocs\, researchers and others from all Swedish universities who have previously participated in the NBIS Tools for reproducible research course or with demonstrated experience in writing Snakemake workflows. \n\n\n\n\n\n\nCOURSE WEBSITE\n\n\n\nREGISTRATION\n\n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication opens:  May 15 \n\n\n\nApplication closes: June 17 \n\n\n\nConfirmation to accepted students:  June 28 \n\n\n\nResponsible teachers:  Verena Kutschera\, John Sundh\, Per Unneberg\, Marcel Martin \n\n\n\nContact information: edu.byoc-snakemake@nbis.se \n\n\n\n\n\n\n\nWorkshop fee\n\n\n\nThis online training event has no fee. However\, if you accept a position at the workshop and do not participate (no-show) you will be invoiced 1\,700 SEK. \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\n\n\n\n\nWorkshop content\n\n\n\nAs data analysis projects grow and change over time\, it gets increasingly difficult to keep track of how the different parts of the data analysis fit together. Workflow management systems such as Snakemake can be used to set up\, perform and monitor defined sequences of computational tasks (“workflows”)\, thereby making data analyses reproducible and scalable. Snakemake was developed in the bioinformatics community and has some features that make it particularly well suited for bioinformatics workflows. \n\n\n\nThe NBIS Tools for reproducible research course is held twice a year and provides an introduction into Snakemake and a tutorial to learn how to use Snakemake.This Snakemake BYOC (bring-your-own-code) workshop provides a follow-up to that introduction. Here\, participants will get support from experienced bioinformaticians to A) convert their data analysis from a programming language such as bash\, R or python into a Snakemake workflow\, or B) apply more advanced techniques to their existing Snakemake workflows. \n\n\n\n\n\n\n\nLearning outcomes\n\n\n\nAfter participation in the BYOC workshop\, participants will: \n\n\n\nBe able to create Snakemake workflows for bioinformatics data analysisDemonstrate knowledge of the structure and syntax of different types of Snakemake workflowsDemonstrate knowledge of advanced features of the Snakemake workflow language\n\n\n\n\n\n\n\nEntry requirements\n\n\n\nPrevious participation in the NBIS Tools for reproducible research workshop. The workshop is also open for participants who can demonstrate experience in writing Snakemake workflowsYour own bioinformatics analysis scripts in any programming language that you would like to convert into Snakemake OR your own Snakemake workflow that you would like to improveA computer with a webcam running Linux or Mac OS (if you run Windows and are accepted as a participant\, additional setup will be required). You will be asked to install the video conferencing software zoom (https://zoom.us/) to be able to participate in the workshop.\n\n\n\nThe workshop can accommodate a maximum of 16 participants. Selection criteria include correct entry requirements\, motivation to attend the workshop as well as gender and geographical balance. Academic affiliated registrants are prioritized prior to participants from the industry.
URL:https://www.scilifelab.se/event/snakemake-byoc-bring-your-own-code-workshop-online-2/
LOCATION:Online event via Zoom
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220907T080000
DTEND;TZID=Europe/Stockholm:20220909T170000
DTSTAMP:20260415T140149
CREATED:20220811T104626Z
LAST-MODIFIED:20220822T124149Z
UID:10000642-1662537600-1662742800@www.scilifelab.se
SUMMARY:Workshop on Data Visualization in R - Lund - CANCELLED
DESCRIPTION:National course open for PhD students (prioritized)\, postdocs\, researchers and other employees within all Swedish universities interested in learning to plot using different packages in R – CANCELLED \n\n\n\nThe course is organized by NBIS (ELIXIR-SE). \n\n\n\nResponsible teachers: Lokeshwaran Manoharan\, Louella Vasquez\, Markus Ringner \n\n\n\nContact information: edu.plotting.r@nbis.se \n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication open: Jul 28\, 2022 \n\n\n\nApplication deadline: Aug 21\, 2022 \n\n\n\nConfirmation to accepted participants: Aug 25\, 2022 \n\n\n\n\n\n\n\n\n\nApplication\n\n\n\n\n\nCourse website (previous version)\n\n\n\n\n\n\n\n\n\n\n\n\n\nCourse fee\n\n\n\nThis training event has no fee. However\, if you accept a position at the workshop and do not participate (no-show) you will be invoiced * 2000 SEK. \n\n\n\nA course fee* of 1300 SEK will be invoiced to accepted participants. This includes 3 lunches\, 1 dinner\, coffee and cakes. \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\n\n\n\n\nCourse description\n\n\n\nThis course aims to help researchers to visualize their data in different ways using R. This course will also aim to show researchers how they can make publication grade figures using R. A part of this course is also about making interactive plots that the researchers can view and share in a web-server to make interactive visualizations of the data. \n\n\n\n\n\n\n\nCourse content\n\n\n\nIn this course you will learn how to visualize your data in R. \n\n\n\nIn particular\, you will learn: \n\n\n\n·          how to format the data necessary for ggplot \n\n\n\n·          how to make bar-charts\, box-plots and others using ggplot \n\n\n\n·          how to make PCA plots in ggplot \n\n\n\n·          how to use R packages for heatmaps \n\n\n\n·          how to plot data on maps using R (optional) \n\n\n\n·          how to plot and handle phylogenetic trees in R (optional) \n\n\n\n·          how to make interactive plots in R using Rshiny \n\n\n\n·          how to host a Rshiny app in one of the available servers \n\n\n\n\n\n\n\nLearning outcomes\n\n\n\nBy the end of the course the participant will be able to: \n\n\n\n·          handle data in R for visualizations \n\n\n\n·          apply the grammar efficiently in ggplot to get the desired plot \n\n\n\n·          combine different data and/or different plots that are of publication-grade \n\n\n\n·          write your own simple Rshiny app \n\n\n\n·          deploy Rshiny apps in public servers.  \n\n\n\n\n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and to complete computer exercises: \n\n\n\nfamiliarity with using R and Rstudioa computer with R and Rstudioyou will be asked to install different R packages necessary for the course prior to the course. \n\n\n\n\n\n\n\nSelection criteria\n\n\n\nThe course can accommodate 25 participants. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. Academic affiliated registrants are prioritized prior to participants from the industry. \n\n\n\nPlease note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits\, however the estimated credits are just guidelines. If formal credits are crucial\, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not.
URL:https://www.scilifelab.se/event/workshop-on-data-visualization-in-r-lund-2/
LOCATION:Biologihuset\, Sölvegatan 35\, Lund\, 223 62\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220911T080000
DTEND;TZID=Europe/Stockholm:20220916T170000
DTSTAMP:20260415T140149
CREATED:20220420T142106Z
LAST-MODIFIED:20220530T135853Z
UID:10000586-1662883200-1663347600@www.scilifelab.se
SUMMARY:Exploring the Human Proteome with Antibodies\, Transcriptomics and Mass Spectrometry
DESCRIPTION:The summer school is aimed at graduate students\, post-docs\, and young independent investigators who want to learn about new techniques to explore the proteins encoded by the human genome. The course will teach state-of-the-art analysis of the human proteins with a focus on antibody-based methods\, transcriptomics and mass spectrometry. The course will have several daily lectures by experts in the field and this will be complemented with workshops in which the participants will annotate genes/proteins. Each participant will take part in an annotation effort with the aim to go through all experimental evidence of the respective protein and to evaluate the quality of the underlying data to score the evidence for protein profiles and functionality. \n\n\n\nRead more\n\n\n\nThe course will be held at the Science for Life Laboratory located at the campus of Karolinska Institutet in proximity of the city center of Stockholm\, hosting researchers in the field of molecular bioscience affiliated with Karolinska Institutet\, Royal Institute of Technology and Stockholm University. The center has infrastructures for life science\, such as next generation sequencing\, proteomics\, single cell genomics\, bioimaging\, cryo-EM\, protein expression\, antibody engineering\, bioinformatics and systems biology. Accommodation and meals will be provided by the organizers. Social evenings and joined meals will provide ample opportunities for informal exchange with lecturers. \n\n\n\nMathias UhlenChair\, Organization Committee
URL:https://www.scilifelab.se/event/exploring-the-human-proteome-with-antibodiestranscriptomics-and-mass-spectrometry/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Course
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2022/04/FEBS-Advanced-course.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220912T080000
DTEND;TZID=Europe/Stockholm:20220916T170000
DTSTAMP:20260415T140149
CREATED:20220511T090525Z
LAST-MODIFIED:20220511T110221Z
UID:10000605-1662969600-1663347600@www.scilifelab.se
SUMMARY:Introduction to biostatistics and machine learning
DESCRIPTION:National course open for PhD students\, postdocs\, researchers and other employees in need of biostatistical skills within all Swedish universities. The course is geared towards life scientists wanting to be able to understand and use basic statistical methods. It would also suit those already applying biostatistical methods but have never got a chance to reflect on and truly grasp the basic statistical concepts\, such as the commonly misinterpreted p-value. \n\n\n\nImportant dates\n\n\n\nApplication open: now \n\n\n\nApplication closes: 2022-08-14 \n\n\n\nConfirmation to accepted students:  2022-08-19 \n\n\n\nResponsible teachers:  Olga Dethlefsen\, Eva Freyhult \n\n\n\nIf you do not receive information according to the above dates please contact \n\n\n\nedu.ml-biostats@nbis.se\, olga.dethlefsen@nbis.se\, eva.freyhult@nbis.se \n\n\n\n\n\n\n\n\nCOURSE WEBSITE\n\n\n\nAPPLICATION\n\n\n\n\n\n\n\n\nCourse content\n\n\n\nProbability theoryHypothesis testing and confidence intervalsResamplingLinear regression methodsIntroduction to generalized linear modelsModel evaluationUnsupervised learning incl. clustering and dimension reduction methodsSupervised learning incl. classification\n\n\n\n\n\n\n\nEducation\n\n\n\nIn this course we focus on an active learning approach. The course participants are expected to do some pre-course reading and exercises\, corresponding up to 40h studying. The education consists of teaching blocks alternating between mini-lectures\, group discussions\, live coding sessions etc. \n\n\n\n\n\n\n\nEntry requirements\n\n\n\nBasic R programming skillsBYOL (bring your own laptop) with R and RStudio installedNo prior biostatistical knowledge is assumed\n\n\n\nThe course can accommodate a maximum of 24 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. \n\n\n\nCourse fee\n\n\n\n2000 SEK (includes lunches and coffee) \n\n\n\n*Please note that NBIS cannot invoice individuals
URL:https://www.scilifelab.se/event/introduction-to-biostatistics-and-machine-learning/
LOCATION:Navet\, SciLifeLab Uppsala\, SciLifeLab Uppsala\, BMC C11\, Husargatan 3\, Uppsala\, 75237\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20220926T080000
DTEND;TZID=Europe/Stockholm:20220930T170000
DTSTAMP:20260415T140149
CREATED:20220523T075158Z
LAST-MODIFIED:20220523T100120Z
UID:10000614-1664179200-1664557200@www.scilifelab.se
SUMMARY:Introduction to bioinformatics using NGS data
DESCRIPTION:This is a national workshop open to PhD students\, post-docs\, and other researchers affiliated to Swedish academia and healthcare. The workshop is organised by the National Bioinformatics Infrastructure Sweden (NBIS) and National Genomics Infrastructure (NGI). \n\n\n\nThis intense one-week workshop provides an introduction to the analysis of next generation sequencing data. Lectures on the theory of concepts will be paired with practical computational exercises in the Linux environment. The practical exercises will focus on data from the Illumina platform\, but we will discuss other sequencing platforms and the advantages and challenges to using their data during the lectures. \n\n\n\nNBIS training events do not provide any formal university credits. Attendees with full attendance and completion of tasks will be issued a certificate of participation indicating topics covered and duration of the workshop. For more detailed information about workshop syllabus\, learning outcomes and entry requirements\, please visit the workshop website. \n\n\n\nImportant dates\n\n\n\nWorkshop: 26-Sep-2022 – 30-Sep-2022 \n\n\n\nApplication opens: 23-May-2022 \n\n\n\nApplication closes: 19-Aug-2022 \n\n\n\nConfirmation to accepted students: 26-Aug-2022 \n\n\n\nCourse fee\n\n\n\nThis on-site training event costs 2000 SEK invoiced to the participant’s organisation. If you accept a position and do not participate (no-show) you will still be invoiced 2000 SEK. Please note that NBIS cannot invoice individuals. \n\n\n\nContact\n\n\n\nnbis.se \n\n\n\nMalin Larsson\, Martin Dahlö\, Roy Francis \n\n\n\n\n\n\n\n\nWorkshop Website\n\n\n\nApplication
URL:https://www.scilifelab.se/event/introduction-to-bioinformatics-using-ngs-data/
LOCATION:Navet\, SciLifeLab Uppsala\, SciLifeLab Uppsala\, BMC C11\, Husargatan 3\, Uppsala\, 75237\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20221010T090000
DTEND;TZID=Europe/Stockholm:20221014T170000
DTSTAMP:20260415T140149
CREATED:20220621T081729Z
LAST-MODIFIED:20220621T081841Z
UID:10000631-1665392400-1665766800@www.scilifelab.se
SUMMARY:Python programming with applications to bioinformatics
DESCRIPTION:National course open for PhD students\, postdocs\, researchers and other employees in need of fundamental Python skills within all Swedish universities \n\n\n\nResponsible teachers: Nina Norgren\, Dimitris Bampalikis\, Jeanette Tångrot \n\n\n\nContact information: edu.intro-python@nbis.se \n\n\n\n\n\n\n\nVenue\n\n\n\nSciLifeLab Uppsala\, BMC\, Navet (Trippelrummet) \n\n\n\nUmeå University\, KBC building\, room KBG201 \n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication open: June 21 \n\n\n\nApplication deadline: September 4 \n\n\n\nConfirmation to accepted participants: September 8 \n\n\n\n\n\n\n\nCourse fee\n\n\n\n A course fee* of 2000 SEK will be invoiced to accepted participants. This includes lunches\, coffee and snacks\, and course dinner \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\n\n\n\n\n\n\nCourse website\n\n\n\n\n\nApplication\n\n\n\n\n\n\n\n\n\n\n\n\n\nCourse description\n\n\n\n This course provides a practical introduction to the writing of Python programs for the complete novice. Participants are led through the core aspects of Python illustrated by a series of example programs. Upon completion of the course\, attentive participants will be able to write simple Python programs from scratch and to customize more complex code to fit their needs. \n\n\n\nFormat \n\n\n\nThis course runs in parallel both on-site in Uppsala and in Umeå. Lectures will be streamed online from our Uppsala site to the Umeå site. Several teaching assistants will be present both in the Umeå and Uppsala classroom all week to help with exercises and questions. When registering you will be asked to which site you apply. \n\n\n\nThe course consists of a mix of presentations\, demonstrations\, and practical exercises (either in the lab with assistants or on your own). Prior to the course\, you can read a companion book “Programming Python”\, or “Learning Python”. Such a book will also prove useful for your programming tasks\, after the course is over. It is however not required\, and material will be presented in class. \n\n\n\n\n\n\n\nCourse content\n\n\n\nCore concepts about Python syntax: Data types\, blocks and indentation\, variable scoping\, iteration\, functions\, methods and argumentsDifferent ways to control program flow using loops and conditional testsRegular expressions and pattern matchingWriting functions and best-practice ways of making them usableReading from and writing to filesCode packaging and Python librariesHow to work with biological data using external libraries.\n\n\n\n\n\n\n\nLearning outcomes\n\n\n\nDescribe and apply basic concepts in Python\, such as:LoopsIf/else statementsFunctionsReading/writing to filesBeing able to edit and run Python codeWrite file-processing Python programs that produce output to the terminal and/or external filesCreate stand-alone python programs to process biological dataKnow how to develop your skills in Python after the course (including debugging)\n\n\n\n\n\n\n\nEntry requirements\n\n\n\n The course is suitable for complete beginners and assumes no prior programming experience (beyond the ability to use a text editor). A very basic knowledge of UNIX would be an advantage\, such as navigating through folders and issuing commands at a shell prompt. We will not teach UNIX in detail: Other courses are available at SciLifeLab for it. Make sure your laptop has python installed for the practical exercises. \n\n\n\n\n\n\n\nSelection criteria\n\n\n\nDue to limited space the course can accommodate a maximum of 25 participants in Uppsala and 15 in Umeå. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. Please note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to 1.5 hp credits\, however the estimated credits are just recommendations. If formal credits are crucial\, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not
URL:https://www.scilifelab.se/event/python-programming-with-applications-to-bioinformatics/
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20221011T080000
DTEND;TZID=Europe/Stockholm:20221013T170000
DTSTAMP:20260415T140149
CREATED:20220912T161617Z
LAST-MODIFIED:20220912T161619Z
UID:10000680-1665475200-1665680400@www.scilifelab.se
SUMMARY:Cryo-EM sample preparation and data collection course
DESCRIPTION:The purpose of the course is to prepare and train Cryo-EM facility users in sample preparation methods\, introduce users to the image data acquisition workflow\, expand knowledge about cryo-EM methods among researchers and show that everyone can learn how to use cryo-EM for structure and cell biology. \n\n\n\nThe course is open for facility users or potential facility users\, such as PhD students\, postdocs\, and researchers within the life sciences who are curious and will profit from cryo-EM skills. Swedish and international course participants are welcome. To attend\, the course participants must have experience in basic electron microscopy and be familiar with structure or cell biology. \n\n\n\nThis course is supported by SciLifeLab\, CryoNET and Umeå University and organized by the SciLifeLab Cryo-EM facility\, both UmU and SU nodes together. \n\n\n\nApplication deadlineApplication should be submitted before September 16\, 2022 \n\n\n\nRead more\n\n\n\nCourse organizersCamilla Holmlund and Michael Hall \n\n\n\nLocationUCEM and Chemical Biological Centre (KBC) BuildingUmeå UniversityLinnaeus väg 6 \n\n\n\nTeachers and course instructors \n\n\n\nLinda SandbladMichael HallLars-Anders CarlsonCamilla HolmlundAdditional teachers t.b.a\n\n\n\nSocial programA social program depending on the current corona restriction will be communicated to the participants after acceptance. \n\n\n\nCourse feeA course fee of 800 SEK\, including coffee and lunches\, will be invoiced to accepted participants after acceptance. \n\n\n\nCourse contentThis course will cover practical aspects of cryo-EM sample preparation and data acquisition.Topics covered: \n\n\n\nBasic theory of vitreous water\, how to handle a cryo sample and consequencesPlunge freezing methods\, tools and cryo-transferSample and instrument requirements for single particle and tomography methodsImage data acquisition\, concept of low dose and the cryo-specific workflowIntroduction to automatic data acqui­sition software\, EPU\, TomographyIntroduction to cryo-EM image processing methods\n\n\n\nThe course consists of lectures\, cryo lab work\, demonstrations and practical exercises for all participants\, hands-on experiences of microscopy operation and discussions. A detailed schedule will be provided to accepted participant. \n\n\n\nCourse literatureHandouts and material online. \n\n\n\nEntry requirementsPriority will be given to researchers involved in project where the use of cryo-EM is needed\, which are to be briefly described upon application. \n\n\n\nThe course will be held at an advanced level\, assuming that participants have a master’s degree or equivalent in a technical life science discipline. It aims to be relevant for a broad research community\, also to participants not working in research environments using cryo-EM today. \n\n\n\nA maximum of 15 participants will be admitted. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender balance. \n\n\n\nExamination Participation in all parts of the course\, lectures\, lab\, microscopy demonstrations and evaluation are mandatory. SciLifeLab and Umeå University will provide successful participants with a course certificate and a recommendation for 1 ECTS
URL:https://www.scilifelab.se/event/cryo-em-sample-preparation-and-data-collection-course/
CATEGORIES:Course
ORGANIZER;CN="SciLifeLab Ume%C3%A5":MAILTO:umea@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20221011T090000
DTEND;TZID=Europe/Stockholm:20221013T170000
DTSTAMP:20260415T140149
CREATED:20220621T074909Z
LAST-MODIFIED:20220831T075512Z
UID:10000630-1665478800-1665680400@www.scilifelab.se
SUMMARY:Introduction to Data Management Practices
DESCRIPTION:National course open for PhD students\, postdocs\, researchers and other employees within all Swedish universities. This course will introduce important aspects of Research Data Management through a series of lectures and hands-on computer exercises. The course is intended for researchers that want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data. \n\n\n\nNote: We follow the recommendations and guidelines from Swedish authorities and Folkhälsomyndigheten. The course is designed to be an interactive face-to-face event. However\, we follow the situation carefully and will deliver the course online if needed. \n\n\n\nContact: edu.intro-dm@nbis.se \n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication opens:  open now \n\n\n\nApplication closes:  2022-09-09 \n\n\n\nConfirmation to accepted students:  2022-09-13 \n\n\n\n\n\n\n\n\n\nCourse Website\n\n\n\n\n\nApplication\n\n\n\n\n\n\n\n\n\n\n\n\n\nCourse fee\n\n\n\n1500 SEK paid by invoice to NBIS. This includes lunches\, coffee and snacks. Please note that NBIS cannot invoice individuals. \n\n\n\nDue to limited space the course can accommodate a maximum of 25 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. \n\n\n\n\n\n\n\nCourse content\n\n\n\nTopics covered will include \n\n\n\n• Open Science and FAIR in practice \n\n\n\n• Organising data\, files and folders in research projects \n\n\n\n• Versioning data\, documents and scripts with Git \n\n\n\n• Describing data with metadata \n\n\n\n• Cleaning tabular data and metadata with OpenRefine \n\n\n\n• Submitting data to public data repositories \n\n\n\n• Writing basic recipes for data analysis and visualisation with R \n\n\n\n\n\n\n\nLearning objectives \n\n\n\n• To get acquainted with\, and reflect upon\, the principles of Open Science and FAIR \n\n\n\n• To understand the importance of metadata\, and how it affects “FAIRness” \n\n\n\n• To learn how to organise files to make project work more efficient \n\n\n\n• To learn to clean up messy tabular data and metadata \n\n\n\n• To learn how to find\, and submit to\, relevant public repositories for data publication \n\n\n\n• To learn to apply simple version control practices on files \n\n\n\n• To learn to start using R to analyse data \n\n\n\n\n\n\n\nEntry requirements\n\n\n\nNo previous programming experience is required but you are required to bring your own laptop with the required software pre-installed. Installation instructions will be provided before the course starts.
URL:https://www.scilifelab.se/event/introduction-to-data-management-practices-3/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20221024T090000
DTEND;TZID=Europe/Stockholm:20221028T170000
DTSTAMP:20260415T140149
CREATED:20220516T122403Z
LAST-MODIFIED:20220516T122509Z
UID:10000607-1666602000-1666976400@www.scilifelab.se
SUMMARY:Epigenomics Data Analysis: from Bulk to Single Cell (ONLINE)
DESCRIPTION:National workshop open for PhD students\, postdocs\, researchers and other employees within Swedish academia. This course is run by the National Bioinformatics Infrastructure Sweden (NBIS). \n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication opens:  now \n\n\n\nApplication closes: 2022-09-23 \n\n\n\nConfirmation to accepted students: 2022-09-30 \n\n\n\nResponsible teachers\n\n\n\nAgata Smialowska\, Jakub Orzechowski Westholm\, Vincent van Hoef \n\n\n\nPlease contact edu.epigenomics@nbis.se for course specific questions. \n\n\n\n\n\n\n\n\nCOURSE WEBSITE\n\n\n\nAPPLICATION\n\n\n\n\n\n\n\n\nWorkshop fee\n\n\n\nThis online training event has no fee. However\, if you accept a position at the workshop and do not participate (no-show) you will be invoiced 2000 SEK.  \n\n\n\n*Please note that NBIS cannot invoice individuals. \n\n\n\nWorkshop content\n\n\n\nThis workshop aims to introduce the best practice bioinformatics methods for processing\, analyses\, visualisation and integration of epigenomics and functional genomics data. \n\n\n\nTopics covered include: \n\n\n\nData processing and analyses for differential DNA methylation with Illumina EPIC arrays and Bisulfite-seq;ChIP-seq: peak calling\, peak independent / dependent quality metrics\, differential binding analysis; DNA motif enrichment;ATAC-seq: peak calling\, peak independent / dependent quality metrics\, differential accessibility analysis;Quantitative ChIP-seq using spike-ins;CUT&Tag / CUT&RUN: Novel methods to investigate protein-chromatin interactions;Functional analysis\, including finding nearest genes and custom features\, GO terms and Reactome pathways enrichment;Basic multi-omics exploration and integration;Visualisations of epigenomics datasets;Introduction to analysis of single cell functional genomics data (scATAC-seq);Introduction to nf-core pipelines for processing and analysis of epi- and functional genomics data : Methylseq\, ChIP-seq\, ATAC-seq.\n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the workshop and complete the computer exercises: \n\n\n\nBYOL\, bring your own laptop with R and RStudio installed;Basic knowledge in Linux;Basic programming experience\, preferably in R.\n\n\n\n\n\n\n\nDesirable \n\n\n\nExperience working on the SNIC center Uppmax or another HPC. We encourage participants to run the linked Uppmax tutorial before the workshop;Previous experience with NGS data analyses;Completing NBIS workshops “Introduction to Bioinformatics using NGS data” and “R Programming Foundations for Life Scientists” or equivalent.\n\n\n\nDue to limited capacity the workshop can accommodate maximum of 25 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the workshop as well as gender and geographical balance. \n\n\n\nPlease note that NBIS training events do not provide any formal university credits. \n\n\n\nThis training content is estimated to correspond to a 1.5 HPs\, however the estimated credits are just guidelines. If formal credits are crucial\, participants need to confer with the home department whether the course is valid for formal credits.
URL:https://www.scilifelab.se/event/epigenomics-data-analysis-from-bulk-to-single-cell-online-2/
LOCATION:Online event via Zoom
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20221114T080000
DTEND;TZID=Europe/Stockholm:20221118T170000
DTSTAMP:20260415T140149
CREATED:20221031T165001Z
LAST-MODIFIED:20221031T165003Z
UID:10000725-1668412800-1668790800@www.scilifelab.se
SUMMARY:TEM sample preparation practical course part II
DESCRIPTION:TEM sample preparation course – Chemical fixation\, high pressure freezing\, plastic embedding and staining methods including practice on ultra-microtome sectioning\, TEM imaging and an introduction to CLEM (Correlative Light and Electron Microscopy)\, FIB-SEM (Focused Ion Beam) and electron tomography. \n\n\n\nRead more\n\n\n\nPre-requisite criterion: Basic EM course at UCEM or equal previous experiences of EM methods. \n\n\n\nParticipants will practice EM sample preparation and EM imaging with one sample from their own project. Our lab space limits the number of participants to 8 so we will select participants based on your motivation and how your project aims fits to the course content. Please write a short project description\, a motivation for participating and what sample you would like to process during the course. \n\n\n\nPlease\, look at the program and the methods that are covered in this course. Make sure you have time to participate full days and the entire week. Since the fixation and plastic embedding takes time\, you should bring one test-sample to Agnieszka on Monday 7 of November\, and a new test-sample on the first course day\, 14 November. \n\n\n\nPreliminary Program:The course preliminary program will be announced here once it is organised. \n\n\n\nLocation:Lectures at KBC and laboratory demonstrations at UCEM – Level 5\, 6 + new EM building (Level 1)\, Umeå University. \n\n\n\nParticipants:8 persons. Open to all research students\, postdocs and staff. \n\n\n\nInstructors: \n\n\n\nSara Henriksson – EM research engineerGayathri Vegesna – EM research engineerAgnieszka Ziolkowska – EM research engineerCamilla Holmlund – EM research engineerLinda Sandblad – EM facility director\n\n\n\nDuration:5 days \n\n\n\nBreaks/Refreshments:Coffee\, cookies and fruit will be served. \n\n\n\nCosts:No course fee\, but full attendance is required! \n\n\n\nCredits:Students that attend all theoretical and practical parts of the course\, will receive a certificate for 1\,5 hp.
URL:https://www.scilifelab.se/event/tem-sample-preparation-practical-course-part-ii/
LOCATION:Kemiskt Biologiskt Centrum\, Umeå University\, Linnaeus väg 6\, Umeå\, 90736
CATEGORIES:Course
ORGANIZER;CN="SciLifeLab Ume%C3%A5":MAILTO:umea@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20221121T090000
DTEND;TZID=Europe/Stockholm:20221125T153000
DTSTAMP:20260415T140149
CREATED:20220906T074137Z
LAST-MODIFIED:20220907T061609Z
UID:10000670-1669021200-1669390200@www.scilifelab.se
SUMMARY:NBIS/ELIXIR-SE Tools for Reproducible Research - ONLINE
DESCRIPTION:NBIS / ELIXIR-SE course is open for PhD students\, postdocs\, group leaders and core facility staff interested in making their computational analysis more reproducible. International applications are welcome\, but we will give approximately half of the participant slots to applicants from Swedish universities at minimum\, due to the national role NBIS plays in Sweden. \n\n\n\nThe course is organized by NBIS (ELIXIR-SE). \n\n\n\nResponsible teachers: John Sundh\, Erik Fasterius \n\n\n\nContact information: edu.trr@nbis.se \n\n\n\n\n\n\n\n\n\nApply here\n\n\n\n\n\nCourse webpage\n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication open: Sep 5\, 2022 \n\n\n\nApplication deadline: Oct 21\, 2022 \n\n\n\nConfirmation to accepted participants: Oct 28\, 2022 \n\n\n\n\n\n\n\nCourse fee\n\n\n\nThis online training event has no fee. However\, if you accept a position at the workshop and do not participate (no-show) you will be invoiced 2\,000 SEK. \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\n\n\n\n\nCourse description\n\n\n\nOne of the key principles of proper scientific procedure is the act of repeating an experiment or analysis and being able to reach similar conclusions. Published research based on computational analysis\, e.g. bioinformatics or computational biology\, have often suffered from incomplete method descriptions (e.g. list of used software versions); unavailable raw data; and incomplete\, undocumented and/or unavailable code. This essentially prevents any possibility of attempting to reproduce the results of such studies. The term “reproducible research” has been used to describe the idea that a scientific publication based on computational analysis should be distributed along with all the raw data and metadata used in the study\, all the code and/or computational notebooks needed to produce results from the raw data\, and the computational environment or a complete description thereof. \n\n\n\nReproducible research not only leads to proper scientific conduct but also provides other researchers the access to build upon previous work. Most importantly\, the person setting up a reproducible research project will quickly realize the immediate personal benefits: an organized and structured way of working. The person that most often has to reproduce your own analysis is your future self! \n\n\n\n\n\n\n\nCourse content\n\n\n\nTopics covered \n\n\n\nGood practices for data analysisVersion control and collaborative code developmentPackage and environment managementWorkflow managementDocumentation and reportingContainerized computational environments\n\n\n\n\n\n\n\nLearning outcomes \n\n\n\nBy the end of the course the student will be able to: \n\n\n\nOrganize and structure computational projectsTrack changes and collaborate on code using GitInstall packages and manage software environments using CondaStructure computational steps into workflows with Snakemake and NextflowCreate automated reports and document their analyses with RMarkdown and JupyterPackage and distribute computational environments using Docker and Singularity\n\n\n\n\n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and to complete computer exercises: \n\n\n\nFamiliarity with using the terminal (e.g. be familiar with commands such as ls\, cd\, touch\, mkdir\, pwd\, wget\, man\, etc.)A computer with a webcamYou will be asked to install the video conferencing software zoom (https://zoom.us/) to be able to participate in the courseSome knowledge in R and/or python is beneficial but not strictly required\n\n\n\n\n\n\n\nSelection criteria\n\n\n\nThe course can accommodate 20 participants. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. Academic affiliated registrants are prioritized prior to participants from the industry.  \n\n\n\nPlease note that NBIS training events do not provide any formal university credits. The training content is estimated to correspond to a certain number of credits\, however the estimated credits are just guidelines. If formal credits are crucial\, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not.
URL:https://www.scilifelab.se/event/nbis-elixir-se-tools-for-reproducible-research-online-2/
LOCATION:Online event via Zoom
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20221205T080000
DTEND;TZID=Europe/Stockholm:20221208T170000
DTSTAMP:20260415T140149
CREATED:20221031T164615Z
LAST-MODIFIED:20221031T164743Z
UID:10000724-1670227200-1670518800@www.scilifelab.se
SUMMARY:Workshop on Advanced Correlative Light and Electron Microscopy (CLEM) methods
DESCRIPTION:This 4-day workshop aims to highlight the advanced correlative light and electron microscopy (CLEM) techniques. Participants will learn the latest workflows on how to correlate fluorescence microscopy images with high resolution EM images obtained from state-of-the-art equipment. \n\n\n\nRead more\n\n\n\nWorkshop Content:The workshop includes both theory lectures and practical sessions on In-resin preserved florescence for CLEM\, Tokuyasu ultramicrotome sectioning combined with staining techniques on sections\, Cryo-CLEM and cryo-FIB milling\, as well as opportunities to discuss specific research projects and receive practical advice. Technical challenges and new ideas will be discussed\, and the participants are welcome to contribute with their experiences.  \n\n\n\nTarget Audience:This workshop is supported by the Nordic EMBL partnership for Molecular Medicine and welcomes applications from its members and other institutions. Participants are required to have practical experience in both light and electron microscopy. Due to limited number of places\, registration is based on a selection process. Selected lectures will be open to a larger range of participants and can be registered for under a ‘lecture only’ registration.Certificate/Credits:A course certificate will be provided to successful participants and a recommendation for 1\,5 ECTS.
URL:https://www.scilifelab.se/event/workshop-on-advanced-correlative-light-and-electron-microscopy-clem-methods/
LOCATION:Kemiskt Biologiskt Centrum\, Umeå University\, Linnaeus väg 6\, Umeå\, 90736
CATEGORIES:Course
ORGANIZER;CN="SciLifeLab Ume%C3%A5":MAILTO:umea@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230130T080000
DTEND;TZID=Europe/Stockholm:20230203T140000
DTSTAMP:20260415T140149
CREATED:20221130T151251Z
LAST-MODIFIED:20230124T084743Z
UID:10000740-1675065600-1675432800@www.scilifelab.se
SUMMARY:Single cell RNAseq data analysis
DESCRIPTION:This workshop will introduce the best practice bioinformatics methods for processing and analyses of single cell RNA-seq data. The total course duration is 5 days\, including the lectures and practical exercises that will be held on site in Stockholm. \n\n\n\nApplication\n\n\n\nApplication open: 2022-11-25 \n\n\n\nApplication deadline: 2022-12-21 \n\n\n\napplication form\n\n\n\nCourse Leaders\n\n\n\nPaulo Czarnewski \n\n\n\nÅsa Björklund \n\n\n\nContact: edu.sc@nbis.se \n\n\n\nCourse fee\n\n\n\nThis workshop has a fee of 2000kr and will be invoiced to the selected participants (Please note that NBIS cannot invoice individuals). Applications without complete invoice information will not be considered. Course fees cover all coffee breaks\, all lunches and 1 course dinner. \n\n\n\nCourse content\n\n\n\n\nOverview of the current scRNAseq technologies\n\n\n\nBasic overview of pipelines for processing raw reads into expression values\n\n\n\nQuality control and normalization\n\n\n\nDimensionality reduction techniques\n\n\n\nData integration and batch correction\n\n\n\nDifferential gene expression\n\n\n\nClustering techniques\n\n\n\nCelltype prediction\n\n\n\nTrajectory inference analysis\n\n\n\nAnalysis of spatial transcriptomics datasets\n\n\n\nComparison of different analysis pipelines such as Seurat\, Scran and Scanpy\n\n\n\n\nWho can apply?\n\n\n\nThis is a national course. The course is open for PhD students\, postdocs\, group leaders and core facility staff within all Swedish universities. Even if we do accept application from other countries\, we give priority to applicants from Swedish universities prior to applicants from industry and academics from other countries. \n\n\n\nPractical exercises will be performed using either R or Python\, so we only accept students that fulfil the entry requirements below. \n\n\n\nEntry requirements\n\n\n\n\nYou are used to program in either R and/or Python\n\n\n\nYou already understand the basis of NGS technologies\n\n\n\nYou are able to analyse bulk RNA-sequencing data\n\n\n\nYou are used to navigate and use UNIX command line (bash)\n\n\n\nHave full access to your computer (admin permissions). Instructions on installation will be sent by email to accepted participants.\n\n\n\n\nDue to limited space the course can accommodate maximum of 25 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance.
URL:https://www.scilifelab.se/event/single-cell-rnaseq-data-analysis/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230206T090000
DTEND;TZID=Europe/Stockholm:20230210T170000
DTSTAMP:20260415T140149
CREATED:20221124T091335Z
LAST-MODIFIED:20221214T103757Z
UID:10000738-1675674000-1676048400@www.scilifelab.se
SUMMARY:Introduction to bioinformatics using NGS data - Lund\, Umeå and Uppsala
DESCRIPTION:This intense one-week workshop provides an introduction to the analysis of next generation sequencing data. The workshop is open to PhD students\, post-docs\, and other researchers affiliated to Swedish academia and healthcare. It is organised by the National Bioinformatics Infrastructure Sweden (NBIS) and National Genomics Infrastructure (NGI). \n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication opens: 21-Nov-2022Application closes: 31-Dec-2022Information to accepted students will be sent:  Week 2\, 2023 \n\n\n\n\n\n\n\nVenues\n\n\n\nThis workshop runs in parallel on-site in Uppsala\, Umeå and Lund. Lectures will be streamed online from our Uppsala site (mainly) to the other classrooms. Several teaching assistants will be present in the Umeå\, Lund and Uppsala classrooms all week to help with exercises and questions. When registering you will be asked to select a preferred site. \n\n\n\nUppsalaTrippelrummet (E10:1307-1309)Entrance C11Biomedical Centre (BMC) / SciLifeLab / Uppsala UniversityHusargatan 3752 37 Uppsala \n\n\n\nUmeåUB341Universitetsbibioteket plan 3Umeå University901 87 Umeå \n\n\n\nLundSölvegatan 35Lund University223 62 Lund \n\n\n\n\n\n\n\nFor more detailed information about workshop syllabus\, learning outcomes and entry requirements\, please visit the workshop website. \n\n\n\nwebsite & Application\n\n\n\n\n\n\n\nContact\n\n\n\nEmail: edu.intro-ngsMalin Larsson\, Martin Dahlö\, Roy Francis \n\n\n\n\n\n\n\nCourse fee\n\n\n\nThis on-site training event costs 2000 SEK invoiced to the participant’s organisation. If you accept a position and do not participate (no-show) you will still be invoiced 2000 SEK. Please note that NBIS cannot invoice individuals. \n\n\n\n\n\n\n\nCourse content\n\n\n\nBriefly\, the workshop covers the followings major topics: \n\n\n\n\nWorking on the UNIX/LINUX command line\n\n\n\nBioinformatic/NGS data formats and QC\n\n\n\nDNA variant calling workflow essentials\n\n\n\nRNA sequence analysis workflow essentials\n\n\n\n\nLectures on the theory of concepts will be paired with practical computational exercises in the Linux environment. The practical exercises will focus on data from the Illumina platform\, but we will discuss other sequencing platforms and the advantages and challenges to using their data during the lectures. \n\n\n\nPlease note that NBIS training events do not provide any formal university credits. Attendees with full attendance and completion of tasks will be issued a certificate of participation indicating topics covered and duration of the workshop. 
URL:https://www.scilifelab.se/event/introduction-to-bioinformatics-using-ngs-data-2/
CATEGORIES:Course
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230208T090000
DTEND;TZID=Europe/Stockholm:20230210T170000
DTSTAMP:20260415T140149
CREATED:20221214T102444Z
LAST-MODIFIED:20221214T102750Z
UID:10000751-1675846800-1676048400@www.scilifelab.se
SUMMARY:Omics Integration and Systems Biology - Online
DESCRIPTION:The National Bioinformatics Infrastructure Sweden (NBIS) is pleased to announce the workshop in Omics Integration and Systems Biology. This workshop is open for PhD students\, postdocs\, group leaders and core facility staff from Swedish academic institutions looking for an introduction to multi-omics data analysis and integration of biological data. This course will include lectures and hands-on exercises from NBIS / Scilifelab experts from Stockholm\, Lund and Gothenburg. \n\n\n\n\n\n\n\n\n\nApplication\n\n\n\n\n\nCourse website\n\n\n\n\n\n\n\n\n\nImportant dates\n\n\n\n\nApplication opens: 15 December 2022\n\n\n\nApplication closes: 25 January 2023\n\n\n\nConfirmation to accepted applicants: 1 February 2023\n\n\n\n\n\n\n\n\nCourse fee\n\n\n\nThis online training event has no fee. However\, if you accept a position at the workshop and do not participate (no-show) you will be invoiced 2000 SEK. * Please note that NBIS cannot invoice individuals. \n\n\n\n\n\n\n\nCourse content\n\n\n\nThe aim of this course is to provide an integrated view of data-driven hypothesis generation through machine learning integration methods\, biological graph / network analysis and genome-scale metabolic models. A general description of different methods for analyzing different omics data (e.g. transcriptomics and genomics) will be presented with some of the lectures discussing key methods and pitfalls in their integration. The techniques will be discussed in terms of their rationale and applicability. The course will also include hands-on sessions and seminars by invited speakers.Some of the covered topics include: \n\n\n\n\nData pre-processing and cleaning prior to integration;\n\n\n\nApplication of machine learning for multi-omics analysis including deep learning;\n\n\n\nMulti-omics integration\, clustering and dimensionality reduction;\n\n\n\nBiological network inference\, community and topology analysis and visualization;\n\n\n\nCondition-specific and personalized modeling through Genome-scale Metabolic models for integration of transcriptomic\, proteomic\, metabolomic and fluxomig data;\n\n\n\nIdentification of key biological functions and pathways;\n\n\n\nIdentification of potential biomarkers and targetable genes through modeling and biological network analysis;\n\n\n\nApplication of network approaches in meta-analyses;\n\n\n\nSimilarity network fusion and matrix factorization techniques;\n\n\n\nIntegrated data visualization techniques\n\n\n\n\nFurther details about the course content may be found on the course website. \n\n\n\n\n\n\n\nEntry requirements\n\n\n\nThis course is open for PhD students\, postdocs\, group leaders and core facility staff from Swedish academic institutions. Please note that NBIS training events do not provide any formal university credits. If formal credits are crucial\, the student needs to confer with the home department before submitting a course application in order to establish whether the course is valid for formal credits or not. \n\n\n\nPractical exercises can be performed using R or Python\, so we only accept students with previous experience in one of those programming languages. We will not discuss how to process specific omics\, and the students are referred to other NBIS courses for this matter. \n\n\n\nRequired \n\n\n\n\nBasic knowledge in R or Python;\n\n\n\nBasic understanding of frequentist statistics;\n\n\n\nA computer with a web camera\, Zoom\, and permissions for installing software.\n\n\n\n\nDesired \n\n\n\n\nExperience with analysis of NGS and other omic data;\n\n\n\nCompleting NBIS courses “Introduction to Bioinformatics using NGS data” and “Introduction to biostatistics and machine learning”\n\n\n\nBasic conda and git knowledge\n\n\n\n\nThis workshop can accommodate a maximum of 25 participants. If we receive more applications\, participants will be selected based on several criteria including entry requirements\, motivation to attend the course as well as gender and geographical balance. \n\n\n\nContact information\n\n\n\nFor questions about this workshop please contact: edu.omics-integration@nbis.se
URL:https://www.scilifelab.se/event/omics-integration-and-systems-biology-online/
LOCATION:Online event via Zoom
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230214T120000
DTEND;TZID=Europe/Stockholm:20230214T130000
DTSTAMP:20260415T140149
CREATED:20230120T101420Z
LAST-MODIFIED:20230207T103736Z
UID:10000793-1676376000-1676379600@www.scilifelab.se
SUMMARY:FunCoup network analysis workshop
DESCRIPTION:Network biology is a new paradigm to understand the complex interactions of the molecules in an organism using an integrative and systems approach. This workshop is intended for scientists interested in learning more about and applying network analysis in their research. We will describe and demonstrate the comprehensive network database FunCoup (https://funcoup.sbc.su.se/) and show how it can be used to answer various research questions at the systems biology level.  \n\n\n\n\n\n\n\n \n\n\n\nPROGRAM: \n\n\n\n1. Introduction to FunCoup and its unique features for analyzing functional coupling between genes/proteins\, as well as accompanying analysis tools such as PathBIX and MaxLink. \n\n\n\n2. Demonstration of FunCoup and accompanying tools\, as well as programmatic usage of FunCoup in an R notebook. \n\n\n\n\n\nRegistration\n\n\n\nLink to zoom
URL:https://www.scilifelab.se/event/funcoup-network-analysis-workshop/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Course
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230313T080000
DTEND;TZID=Europe/Stockholm:20230316T170000
DTSTAMP:20260415T140149
CREATED:20221212T141504Z
LAST-MODIFIED:20221212T142110Z
UID:10000747-1678694400-1678986000@www.scilifelab.se
SUMMARY:RNA-seq data analysis 
DESCRIPTION:This workshop will introduce the best practice bioinformatics methods for processing and analyses of RNA-seq data via a series of  lectures and computer practicals. \n\n\n\nImportant dates\n\n\n\nApplication open: December 15\, 2022  \n\n\n\nApplication deadline: February 12\, 2023 \n\n\n\nResponsible teacher/s\n\n\n\nJohan Reimegård\, Julie Lorent\, Nima Rafati \n\n\n\nContact information for questions regarding the course\n\n\n\nedu.rnaseq@nbis.se \n\n\n\nCourse fee\n\n\n\nA course fee* of 1800 SEK will be invoiced to accepted participants. This includes lunches\, coffee\, snacks\, and one course dinner. *Please note that NBIS cannot invoice individuals \n\n\n\nCourse content\n\n\n\nTopics covered will include: \n\n\n\n\nRNAseq quality control analysis \n\n\n\nMapping of short reads \n\n\n\nQuantification of gene expression \n\n\n\nExploratory data analysis \n\n\n\nDifferential gene expression \n\n\n\nGene set enrichment analysis\n\n\n\n\n\n\n\n\nMore details about the course can be found at: \n\n\n\nThe previous year website\n\n\n\n\n\n\n\nThe course will follow similar structure and topics. NOTE: In March 2023\, the course will be a 4-day-course on-site in Uppsala. \n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and complete the computer exercises: \n\n\n\n\nBasic knowledge in Linux and R \n\n\n\nYour own laptop with the following specs: \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAt least 6 GB of RAM. \n\n\n\n\n\nOperating system Win10\, OS X or Linux \n\n\n\n\n\nAt least 30 GB of free storage\n\n\n\n\n\n\nDesirable: \n\n\n\n\nExperience working with NGS data analysis or completed the NBIS workshop “Introduction to Bioinformatics using NGS data” \n\n\n\nExperience working in R or completed the NBIS course “R Programming Foundations for Life Scientists”\n\n\n\n\nDue to our best practice to have a high teacher to student ratio we have set the number of participants to a maximum of 20 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. \n\n\n\n\n\n\n\nApplication
URL:https://www.scilifelab.se/event/rna-seq-data-analysis/
LOCATION:Navet\, SciLifeLab Uppsala\, SciLifeLab Uppsala\, BMC C11\, Husargatan 3\, Uppsala\, 75237\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20230320T090000
DTEND;TZID=Europe/Stockholm:20230324T170000
DTSTAMP:20260415T140149
CREATED:20221026T132922Z
LAST-MODIFIED:20230306T114543Z
UID:10000723-1679302800-1679677200@www.scilifelab.se
SUMMARY:NBIS workshop in Neural Nets and Deep Learning
DESCRIPTION:National course open for PhD students\, postdocs\, researchers and other employees in need of Neural networks and Deep Learning skills within all Swedish universities. \n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication opens: 2022-10-25 \n\n\n\nApplication closes: 2023-02-10 \n\n\n\nConfirmation to accepted students:  2023-02-17 \n\n\n\nResponsible teachers:  Claudio Mirabello\, Christophe Avenel \n\n\n\nIf you do not receive information according to the above dates please contact: edu.neural-nets-deep-learning@nbis.se \n\n\n\nCourse webpage\n\n\n\nApplication\n\n\n\n\n\n\n\nCourse fee\n\n\n\nA course fee* of 2200 SEK will be invoiced to accepted participants. This includes lunches\, coffee and snacks. \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\n\n\n\n\nCourse content\n\n\n\nThis course will give an introduction to the concept of Neural Networks (NN) and Deep Learning. \n\n\n\nTopics covered will include: \n\n\n\n\nNN building blocks\, including concepts such as neurons\, activation functions\, loss functions\, gradient descent and back-propagation\n\n\n\nConvolutional Neural Networks\n\n\n\nRecursive Neural Networks\n\n\n\nAutoencoders\n\n\n\nBest practices when designing NNs\n\n\n\n\n\n\n\n\nLearning outcomes\n\n\n\nUpon completion of this course\, you will be able to: \n\n\n\n\nDistinguish the concepts of “Artificial Intelligence”\, “Machine Learning”\, “Neural Networks”\, “Deep Learning”\n\n\n\nDistinguish between different types of learning (e.g. supervised\, unsupervised\, reinforcement) and recognise which applies to their own problem\n\n\n\nDistinguish between linear and non-linear approaches and recognise which is best suited for application to their own problem\n\n\n\nDescribe what a feed-forward neural network (FFNN) is\, along with its components (neurons\, layers\, weights\, bias\, activation functions\, cost functions)\n\n\n\nExplain how training of a FFNN works from a mathematical point of view (gradient descent\, learning rate\, backpropagation)\n\n\n\nExecute with pen and paper a few steps of training of a very simple FFNN model\n\n\n\nTell the difference between a shallow and a deep network\n\n\n\nExplain broadly how different NN architectures are wired and how they work\n\n\n\nImplement and apply the most appropriate architecture to a given problem/dataset\n\n\n\nAnalyze training curves and prediction outputs to evaluate if the training has been successful\n\n\n\nDebug possible issues with the training and suggest changes to fix them\n\n\n\nExplain the difference between training\, validation and testing\n\n\n\nDefine what overfitting is from a mathematical point of view\, and what issues it causes\n\n\n\nIdentify what constitutes good practices of dataset design and how to avoid introducing information leakage or other biases when building their own datasets\n\n\n\n\n\n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and complete the computer exercises: \n\n\n\n\nFamiliarity with Unix/Linux\n\n\n\nAbility to bring your own laptop with Python and Jupyter Notebooks  installed for the practical exercises\n\n\n\nProgramming/scripting experience in Python (e.g. having attended the NBIS workshop in basic Python or equivalent)\n\n\n\nBasic experience of statistics and mathematics (e.g. having attended the NBIS workshop Introduction to Biostatistics and Machine Learning or equivalent)\n\n\n\n\nDesirable: \n\n\n\n\nYou have experience of working with Jupyter Notebooks\n\n\n\nYou have a necessity  to work with large datasets (e.g. thousands of samples)\n\n\n\n\n\n\n\n\nDue to limited space the course can accommodate a maximum of 25 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance.
URL:https://www.scilifelab.se/event/nbis-workshop-in-neural-nets-and-deep-learning-2/
LOCATION:Navet\, SciLifeLab Uppsala\, SciLifeLab Uppsala\, BMC C11\, Husargatan 3\, Uppsala\, 75237\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
END:VCALENDAR