BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//SciLifeLab - ECPv6.16.2//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.scilifelab.se
X-WR-CALDESC:Events for SciLifeLab
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:Europe/Stockholm
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20200329T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20201025T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20210328T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20211031T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20220327T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20221030T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20210929T090000
DTEND;TZID=Europe/Stockholm:20211001T130000
DTSTAMP:20260614T021221
CREATED:20210615T081112Z
LAST-MODIFIED:20210615T090743Z
UID:10000401-1632906000-1633093200@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\n\n\nCourse website\n\n\n\nCourse application\n\n\n\n\n\n\n\n\nImportant dates \n\n\n\nApplication opens:  June 15 \n\n\n\nApplication closes: August 31 \n\n\n\nConfirmation to accepted students:  September 3 \n\n\n\nResponsible teachers:  Verena Kutschera\, John Sundh\, Per Unneberg \n\n\n\nContact information: edu.byoc-snakemake@nbis.se \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\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. \n\n\n\nThis 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\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/
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20210908T080000
DTEND;TZID=Europe/Stockholm:20210910T170000
DTSTAMP:20260614T021221
CREATED:20210527T110708Z
LAST-MODIFIED:20210906T135301Z
UID:10000393-1631088000-1631293200@www.scilifelab.se
SUMMARY:Workshop on Plotting in R - ONLINE
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.The course is organized by NBIS (ELIXIR-SE). \n\n\n\nResponsible teachers: Lokeshwaran Manoharan\, Louella Vasquez\, Markus RingnerContact information: edu.plotting.r@nbis.se \n\n\n\n\n\n\n\n\nApplication\n\n\n\nCourse website\n\n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication open: June 01Application deadline: July 30Confirmation to accepted participants: August 06 \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 1700 SEK.*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.In particular\, you will learn: \n\n\n\n·          how to format the data necessary for ggplot·          how to make bar-charts\, box-plots and others using ggplot·          how to make PCA plots in ggplot·          how to use R packages for heatmaps·          how to plot data on maps using R (optional)·          how to plot and handle phylogenetic trees in R (optional)·          how to make interactive plots in R using Rshiny·          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·          apply the grammar efficiently in ggplot to get the desired plot·          combine different data and/or different plots that are of publication-grade·          write your own simple Rshiny app·          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 a webcam running R and Rstudio You will be asked to install the video conferencing software zoom (https://zoom.us/) to be able to participate in the courseyou 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-plotting-in-r-online/
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
LOCATION:
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20210906T080000
DTEND;TZID=Europe/Stockholm:20210910T170000
DTSTAMP:20260614T021221
CREATED:20210603T124622Z
LAST-MODIFIED:20210615T135807Z
UID:10000396-1630915200-1631293200@www.scilifelab.se
SUMMARY:ELIXIR Omics Integration and Systems Biology - Online
DESCRIPTION:The National Bioinformatics Infrastructure Sweden (NBIS) / ELIXIR Sweden is pleased to announce the workshop in Omics Integration and Systems Biology. This workshop is open for PhD students\, postdocs\, group leaders and core unit staff from European institutions looking for an introduction to multi-omics integration and systems biology approaches. \n\n\n\nThis workshop will include lectures and hands-on exercises from NBIS / Scilifelab experts from Stockholm\, Lund and Gothenburg\, as well as guest sessions from: \n\n\n\nRicard Argelaguet\, PhD\, Babraham Institute\, United KingdomKim-Anh Lê Cao\, PhD\, Melbourne University\, AustraliaPedro Beltrao\, PhD\, EMBL-EBI\, United KingdomNikolaus Sonnenschein\, PhD\, DTU Technical University of Denmark\, Denmark\n\n\n\n More information to come on the course website. \n\n\n\nImportant Dates \n\n\n\n\nApplication opens: 3 JuneApplication closes: 9 AugustConfirmation to accepted students: 16 August\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\nFee \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\nContent \n\n\n\nThe aim of this workshop is to provide an integrated view of data-driven hypothesis generation through biological network analysis\, constraint-based modelling\, and supervised and unsupervised integration methods. A general description of different methods for analysing 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 several seminars by invited speakers. \n\n\n\nSome of the covered topics include: \n\n\n\nData pre-processing and cleaning prior to integration\n\n\n\nApplication of key machine learning methods 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\nFurther details about the course content may be found on the course website. \n\n\n\nEntry requirements \n\n\n\nThis is a course is open for PhD students\, postdocs\, group leaders and core unit staff from European 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\nBasic knowledge in R or Python;Basic understanding of frequentist statistics;A computer with web camera\, Zoom\, and permissions for installing software.\n\n\n\nDesirable: \n\n\n\nExperience with analysis of NGS and other omic data;Completing NBIS courses “Introduction to Bioinformatics using NGS data” and “Introduction to biostatistics and machine learning”Basic conda and git knowledge\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/elixir-omics-integration-and-systems-biology-online/
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20210830T080000
DTEND;TZID=Europe/Stockholm:20210903T170000
DTSTAMP:20260614T021221
CREATED:20210607T141128Z
LAST-MODIFIED:20210608T125759Z
UID:10000398-1630310400-1630688400@www.scilifelab.se
SUMMARY:Summer School Advanced topics in single cell Transcriptomics - Online
DESCRIPTION:Overview\n\n\n\nNBIS (SciLifeLab Bioinformatics Platform) and SIB (Swiss Institute of Bioinformatics) are pleased to co-organize this online course in Advanced topics in single cell Transcriptomics. \n\n\n\nThis jointly collaborative effort between the SIB and NBIS (SciLifeLab Bioinformatics Platform) was launched in 2019 as an every-second-year seasonal school where the thematic topic mirrors the life science demand of knowledge up-skilling. In 2019 we did a seasonal school on the topic of single-cell omics analysis and this year we are repeating this theme as the demand is still extremely high. \n\n\n\nIn recent years\, single-cell transcriptomics has become a widely used technology to study heterogeneous and dynamic biological systems. A large number of new tools and approaches have been developed for analyzing this new type of data. The goal of this joint School is to provide PhD students and postdocs with theoretical and mostly hands-on knowledge on selected advanced topics in Single Cell analysis. In particular\, the participants will be split into small groups to develop mini projects (more details provided later to accepted students. \n\n\n\nFor this one week course in single-cell transcriptomic we are delighted to have several excellent researchers and experts from both the Swedish and the Swiss Life Science community such as teachers such as Alma Andersson\, Åsa Björklund\, Volker Bergen\, Paulo Czarnewski\, Emma Dann\, Charlotte Soneson\, Panagiotis Papasaikas\, Geert van Geest and others. \n\n\n\nTarget audience\n\n\n\nThis course is designed for intermediate users and we consider the knowledge of basic steps in single-cell analysis as a prerequisite. \n\n\n\nCourse and Application details\n\n\n\nApplication is now open at SIB announcement Summer School Advanced topics in single cell Transcriptomics. The SIB page will be regularly updated with more detailed information. \n\n\n\nAny questions please contact Jessica Lindvall (Training coordination\, NBIS)\, jessica.lindvall@nbis.se and Grégoire Rossier (Training coordination\, SIB)\, Gregoire.Rossier@sib.swiss        \n\n\n\nImportant dates\n\n\n\nDeadline for free-of-charge cancellation is set to 28/07/2021. Cancellation after this date will not be reimbursed. \n\n\n\nCourse fee\n\n\n\nThe registration fees for academics are 300 CHF (appriximately 270 Euro) and 1500 CHF (approximately 1370 Euro) for for-profit companies.
URL:https://www.scilifelab.se/event/summer-school-advanced-topics-in-single-cell-transcriptomics-online/
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20210614T080000
DTEND;TZID=Europe/Stockholm:20210624T170000
DTSTAMP:20260614T021221
CREATED:20210503T140254Z
LAST-MODIFIED:20210503T141941Z
UID:10000375-1623657600-1624554000@www.scilifelab.se
SUMMARY:RaukR\, Advanced R for Bioinformatics\, Summer course
DESCRIPTION:International course. The course is open for researchers at university or in industry such as PhD students\, postdocs\, group leaders\, core unit staff and analysts.Apply hereCourse website \n\n\n\ncourse website\n\n\n\nThe course is organised by NBIS \n\n\n\nResponsible teachers: Marcin Kierczak\, Sebastian DiLorenzoContact: RaukR@NBIS.se \n\n\n\nImportant dates\n\n\n\nApplication deadline: Friday\, 23.04.2021\, 24:00 GMTNotification of acceptance/decline: Friday\, 30.04.2021 \n\n\n\nCourse 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 (3000 SEK).Participants from outside of academia should contact us for a fee quote. \n\n\n\nCourse description\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 Summer course will focus on advanced R functionality\, to increase the participants skillset and understanding of what is possible to do today. \n\n\n\nBig part of RaukR experience was coding and exchanging knowledge in a unique environment provided by Campus Visby in Gotland. Sadly\, due to COVID-19 outbreak\, RaukR 2020 did not happen. This year\, we still have to obey a number of restrictions and guidelines due to the outbreak. While we still cannot gather in Visby\, we decided to go online and we hope this year we will also learn a lot and have fun coding together! We wish you all the best. See you online! Stay safe and healthy! \n\n\n\nYou are very welcome to apply or see the homepage for more information. Please\, help us spread the word to interested participants! \n\n\n\nGuest speaker\n\n\n\nMax Kuhn (software engineer at RStudio) \n\n\n\nCourse content\n\n\n\nreproducible research in R (rmarkdown\, knitr)\,collaborative work using git and GitHub\, CD/CI\,R code style guidelines\,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\,efficient use of magrittr pipes\,using the language of graphics\, ggplot2\,developing simple web applications using shiny\,efficient modelingthe second week will be devoted to collaborative project workthe last day\, all groups will present their project work\n\n\n\nEntry requirements\n\n\n\nThe course 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\, the school can accommodate ~30 participants. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. This year\, we will also give priority to students who have already been admitted to RaukR 2020 (which had been cancelled).
URL:https://www.scilifelab.se/event/raukr-advanced-r-for-bioinformatics-summer-course/
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
LOCATION:https://www.scilifelab.se/event/raukr-advanced-r-for-bioinformatics-summer-course/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20210531T080000
DTEND;TZID=Europe/Stockholm:20210611T170000
DTSTAMP:20260614T021221
CREATED:20210413T071434Z
LAST-MODIFIED:20210526T120645Z
UID:10000355-1622448000-1623430800@www.scilifelab.se
SUMMARY:Super-Resolution\, Light-Sheet\, STED-FCS and FRET-FCS
DESCRIPTION:The Advanced Light Microscopy Unit\, ALM\, at Scilifelab gives a two-week course focusing on four new imaging and fluorescence spectroscopy techniques: \n\n\n\nLight-Sheet Imaging\n\n\n\nLong time-lapse imaging of live model organisms with low phototoxicityUltrafast volumetric imaging of cells with lattice light-sheet microscopy\n\n\n\nSuper-Resolution Imaging in Living Cells – MoNaLISA\n\n\n\nSmart probes. 50 nm resolution at 1-2 Hz. 100 x 100 mm field of view. Time lapse imaging\n\n\n\nSTED-FCS\n\n\n\nFluctuation spectroscopy with 30 nm resolutionSub-diffraction dynamics in living cells\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\nSteven EdwardsErdinc SezginIlaria TestaStefan Wennmalm\n\n\n\nCredits: 3 hp for PhD students\, but open for anyone \n\n\n\nLocation: Web-based \n\n\n\nRegistration: stewen@kth.se
URL:https://www.scilifelab.se/event/super-resolution-light-sheet-sted-fcs-and-fret-fcs/
CATEGORIES:Course
ATTACH;FMTTYPE=image/png:https://www.scilifelab.se/wp-content/uploads/2019/10/microscope.png
ORGANIZER;CN="Advanced Light Microscopy Unit":MAILTO:stewen@kth.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20210517T080000
DTEND;TZID=Europe/Stockholm:20210521T170000
DTSTAMP:20260614T021221
CREATED:20210428T093317Z
LAST-MODIFIED:20210428T093423Z
UID:10000368-1621238400-1621616400@www.scilifelab.se
SUMMARY:Introduction to bioinformatics using NGS data (Online)
DESCRIPTION:National workshop for PhD students\, postdocs\, researchers and other employees within Swedish academia. This workshop is run 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:  February 01\, 2021 Application closes: April 11\, 2021Confirmation to accepted students:  April 16\, 2021\n\n\n\nResponsible teachers:  Malin Larsson\, Martin Dahlö\, Roy Francis \n\n\n\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 a 2000 SEK workshop fee**Please note that NBIS cannot invoice individuals \n\n\n\nCourse content \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\nAfter this workshop you should be able to: \n\n\n\nDescribe the basic principles of next generation sequencing.Use the Linux command line interface to manage simple file processing operations\, and organize directory structures.Connect to and work on a remote high performance compute cluster.Apply programs in Linux for analysis of NGS data.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.Explain common NGS file formats.Interpret quality control of NGS reads.Explain the steps involved in variant calling using whole genome sequencing data.Independently perform a basic variant calling workflow on example data.Explain the steps involved in differential gene expression using RNA seq data.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\nHave relevant previous experience in sequencing or analysis.Have a research project where you are currently using next generation sequencing or are planning to use next generation sequencing.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\nSelection criteria include correct entry requirements\, motivation to attend the workshop as well as gender and geographical balance.
URL:https://www.scilifelab.se/event/introduction-to-bioinformatics-using-ngs-data-online/
CATEGORIES:Course
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20210503T080000
DTEND;TZID=Europe/Stockholm:20210507T170000
DTSTAMP:20260614T021221
CREATED:20210414T092540Z
LAST-MODIFIED:20210506T225135Z
UID:10000364-1620028800-1620406800@www.scilifelab.se
SUMMARY:Quick and clean: advanced Python for data science in biology - ONLINE
DESCRIPTION:National course open for PhD students\, postdocs\, researchers and other employees in need of Advanced Python skills within all Swedish universities. \n\n\n\nImportant dates\n\n\n\nApplication is open!Application closes: April 15\, 2021Confirmation to accepted students: April 21\, 2021For questions about the course\, please contact Ashfaq Ali (ashfaq.ali@nbis.se)\, Sergiu Netotea (sergiu.netotea@nbis.se)\n\n\n\nCourse fee\n\n\n\nThe course is free of charge but a no show fee course fee of 2000 SEK will be invoiced to accepted participants who failed to attend the course after accepting to participate. \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\nThe main aim of this course is to introduce students to the so-called Zen of Python for quick and clean application of python in data science. The workshop is structured around  based on the industry way of classifying big data jobs: data analytics\, data science\, data engineering.  \n\n\n\nParticipants will have an opportunity to learn the following topics \n\n\n\nGeneral overview of computer choke points for various architectures together with a fast paced tutorial on advanced language concepts.Scientific computing\, statistics\, visualization and data mining\, via libraries such as numpy\, pandas\, statmodels and several other “science stack” libraries.Programming with focus on how to perform machine learning\, deep learning\, statistical learning and pattern recognition using python\, via scikit-learn\, tensorflow\, pymc3 and other more exotic libraries.Engineering the computing infrastructure and Python’s role in it. How to run Python on clouds and GPU machinesLearning how Python can be used to organize your workflow with efficiency and reproducibility in mind.Application to research themes where you will either pick one real ‘omics subject from a given task list or you will use Python in your project under our assistance. This is a great time to solidify your knowledge by applying it to your own research scope!\n\n\n\nLearning Outcomes\n\n\n\nAt the end of the course the course participants will have achieved following objectives \n\n\n\nGeneral knowledge about computational workflow using pythonHave knowledge about computer architecture and use of python for efficient computingKnowledge about python libraries for machine learning\, deep learning and statistical learning and their applicationsAbility to apply advanced python libraries in own research field\n\n\n\nWorkshop organization\n\n\n\nWe aim for a balance between lecturing and exercise in Jupyter notebooks (jupyter.org) which is used for taking notes\, self study\, hands on tasks and interaction. Considering that the course is online\, lectures will be delivered via zoom links and exercises will be carried out in zoom breakout rooms with the help of teaching assistants. Course session leaders will be available to answer theoretical and practical questions. Questions are welcome at any time. \n\n\n\nYou will be asked to prepare your laptop a week before the course starts. We will also use a slack channel for communication\, posting links or code tips. \n\n\n\nImportant to Know\n\n\n\nThe workshop covers some of the basic concepts of python programming and each session will have advanced material on the topic that may test the limits of the participant’s knowledge of python and computers. Difficulties during learning are expected and are part of the course design. \n\n\n\nFor the sessions on analyses of your own data\, students are encouraged to send their topic of interest before the start of the course.   \n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and complete the computer exercises \n\n\n\nA computer with any OS.           Python\, R or any other computer language basic knowledge.Basic skills handling your own computer.For those interested in tasks involving cloud computing\, access to Amazon AWS is required. (user configuration)\n\n\n\nDesirable to have \n\n\n\nYou have bioinformatics or systems biology background\, statistical and machine learning skills.Have Linux on your laptop\, or access to a Linux server.You did programming before (not just courses) and can handle the command line.Have a good idea for a task you want to achieve on the fourth day.\n\n\n\nDue to limited space the course can accommodate a maximum of 20 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\nGithub page (older version)
URL:https://www.scilifelab.se/event/quick-and-clean-advanced-python-for-data-science-in-biology-online/
CATEGORIES:Course
LOCATION:https://www.scilifelab.se/event/quick-and-clean-advanced-python-for-data-science-in-biology-online/
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20210503T080000
DTEND;TZID=Europe/Stockholm:20210507T170000
DTSTAMP:20260614T021221
CREATED:20210414T092106Z
LAST-MODIFIED:20210414T093012Z
UID:10000363-1620028800-1620406800@www.scilifelab.se
SUMMARY:Genome Assembly and Annotation 2021 – Online
DESCRIPTION:Elixir course open for PhD students\, postdocs\, researchers and other employees in need of Genome assembly and annotation skills. \n\n\n\nImportant dates\n\n\n\nApplication opens: 30th of March Application closes:19th of AprilConfirmation to accepted students: 26th of April \n\n\n\nResponsible teachers:  Christophe Klopp (FR)\, Lucile Soler (SE)\, Mahesh Binzer-Panchal (SE)\, Nima Rafati (SE)\, Tomas Larsson (SE)\, Henrik Lantz (SE)\, Brane Leskosek (SI)\, Marko Vidak (SI) and Erik Hjerde (NO) \n\n\n\nIf you do not receive information according to the above dates please contact:  Erik Hjerde \n\n\n\nCourse fee\n\n\n\nThe course is free of charge. \n\n\n\nCourse content\n\n\n\nThis course will introduce the best practice bioinformatics methods to assemble and annotate genomes via a series of lectures\, group work and computer practicals. Topics covered will include: \n\n\n\nQuality Assessment of sequencing dataLong read technologies and assemblies and assembly polishingAssembly ValidationHi-C sequencingMethod in Structural AnnotationAbinitio annotationAnnotation with makerAbinitio trainingFunctional annotationSubmission to DBBacterial annotation\n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and complete the computer exercises: \n\n\n\nMandatory to complete a short command line course prior to the event. This will be made available to enrolled participants\n\n\n\nThe course is limited to 25 people\, and maximum 2 participants per national ELIXIR node (except Norway). The course is an advanced course. Based on the information collected upon registration\, the course organizers will enroll participants.
URL:https://www.scilifelab.se/event/genome-assembly-and-annotation-2021-online/
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
END:VCALENDAR