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DTSTART;TZID=Europe/Stockholm:20241014T080000
DTEND;TZID=Europe/Stockholm:20241025T170000
DTSTAMP:20260406T200735
CREATED:20240617T081347Z
LAST-MODIFIED:20240617T081528Z
UID:10001279-1728892800-1729875600@www.scilifelab.se
SUMMARY:New Super-Resolution\, Light-Sheet\, and FCS-Methods at Scilifelab
DESCRIPTION:The Advanced Light Microscopy Facility\, ALM\, at Scilifelab gives a two-week PhD-level course on four new imaging and fluorescence spectroscopy techniques: \n\n\n\nDepletion-based Super-Resolution Imaging \n\n\n\n\nSTED-imaging\, 2D and 3D\, 30-50 nm resolution\n\n\n\nIn Living Cells – MoNaLISA\, 1-2 Hz\, 100 x 100 mm field of view\n\n\n\n\nMINFLUX \n\n\n\n\nImaging with 3 nm resolution\n\n\n\nTracking single molecules at 10 kHz\n\n\n\n\nLight-Sheet Imaging \n\n\n\n\nLong time-lapse imaging of live model organisms with low phototoxicity\n\n\n\nUltrafast volumetric imaging of cells with lattice light-sheet microscopy\n\n\n\n\nFCS-Methods \n\n\n\n\nMeasurements of concentrations\, diffusion coefficients\, molecular dynamics and interactions\, in solution or living cells\n\n\n\nCross-correlation\, FRET-\, STED-\, and line-scan-FCS are covered\n\n\n\n\nLecturers: \n\n\n\nSteven Edwards \n\n\n\nErdinc Sezgin \n\n\n\nAna Agostinho \n\n\n\nFrancesca Pennacchietti \n\n\n\nHans Blom \n\n\n\nStefan Wennmalm \n\n\n\nDates: Monday October 14th – Friday October 25th 2024 \n\n\n\nCredits: 3 hp for PhD students \n\n\n\nLocation: Gamma 3\, Scilifelab\, Solna \n\n\n\nRegistration: stewen@kth.se latest September 30th
URL:https://www.scilifelab.se/event/new-super-resolution-light-sheet-and-fcs-methods-at-scilifelab/
LOCATION:Gamma 3\, Tomtebodavägen 23 A\, Solna\, Sweden
CATEGORIES:Course
ORGANIZER;CN="Advanced Light Microscopy Unit":MAILTO:stewen@kth.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20241014T090000
DTEND;TZID=Europe/Stockholm:20241018T170000
DTSTAMP:20260406T200735
CREATED:20240326T120939Z
LAST-MODIFIED:20240403T083011Z
UID:10001215-1728896400-1729270800@www.scilifelab.se
SUMMARY:Omics Integration and Systems Biology
DESCRIPTION:National course open for PhD students\, postdocs\, researchers\, and other employees in all Swedish universities\, in need of a general description of different approaches for working with multiple types of biological data. We also welcome applications from outside of Sweden and from the non-academic sector\, for more info contact us! \n\n\n\n\n\n\n\nImportant dates and information\n\n\n\nApplication opens: 2024-08-05 \n\n\n\nApplication closes: 2024-09-16 \n\n\n\nConfirmation to accepted students: 2024-09-23 \n\n\n\nCourse Leader and teachers: \n\n\n\nNikolay Oskolkov (Lund University\, course leader) \n\n\n\nRasool Saghaleyni (Chalmers University of Technology\, course leader) \n\n\n\nSergiu Netotea (Chalmers University of Technology\, course lecturer) \n\n\n\nJennifer Fransson (Uppsala University\, course lecturer) \n\n\n\nYuan Li (Lund University\, TA) \n\n\n\nNima Rafati (Uppsala University\, TA) \n\n\n\nIn case you miss information on any of the above dates\, please contact: \n\n\n\nNikolay Oskolkov\, nikolay.oskolkov@scilifelab.se \n\n\n\nRasool Saghaleyni\, rasools@chalmers.se \n\n\n\n\n\n\n\n\n\nApplication\n\n\n\n\n\nCourse website\n\n\n\n\n\nCourse fee\n\n\n\nA course fee* of 3000 SEK for academic participants and 15 000 SEK for non-academic participants will be invoiced to accepted participants. The fee includes all coffee breaks\, all lunches and 1 course dinner. \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\n\n\n\n\nCourse content\n\n\n\nThe aim of this workshop is to provide an integrated view of data-driven analysis of biological data through machine learning\, graph and network analysis as well as constraint-based modeling integration methods. A general description of different approaches for working with multiple layers of biological information\, i.e. Omics data (e.g. transcriptomics and genomics) will be presented with some of the lectures discussing their advantages and pitfalls. The techniques will be discussed in terms of their rationale and applicability. \n\n\n\nTopics covered will include: \n\n\n\n\nData pre-processing\, cleaning and feature selection prior to integration;\n\n\n\nApplication of key machine learning methods for multi-omics analysis including deep learning;\n\n\n\nMulti-omics factor analysis\, dimension reduction and clustering;\n\n\n\nSingle Cell and Spatial transcriptomics integration;\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 fluxomic 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\n\n\n\n\nLearning outcomes\n\n\n\nUpon completion of this course\, you will be able to: \n\n\n\n\nIdentify key methods for analysis and integration of omics data based on a given dataset;\n\n\n\nPerform  feature selection and dimension reduction techniques; \n\n\n\nUnderstand strengths and pitfalls of key machine learning techniques in multi-omic analysis;\n\n\n\nApply unsupervised and supervised machine learning data integration techniques;\n\n\n\nBuild biological networks based on different omics data including integrated multi-omics networks;\n\n\n\nPerform centrality and community analyses in graphs;\n\n\n\nApply network approaches in meta-analyses;\n\n\n\nApply similarity network fusion of patient data;\n\n\n\nCompare different cell-types or conditions through the application of different biological network analysis techniques;\n\n\n\nSimulate biological functions using constraint-based models and flux balance analysis;\n\n\n\nIdentify potential confounding factors and sources of bias.\n\n\n\n\n\n\n\n\nEntry requirements\n\n\n\nThe following is a list of skills required for being able to follow the course and complete the exercises: \n\n\n\n\nBasic knowledge in R or Python;\n\n\n\nBasic understanding of frequentist statistics;\n\n\n\n\nDesirable\, but not essential\, skills increasing the output of the course\, include: \n\n\n\n\nExperience with NGS and omics analysis\n\n\n\nCompleting “Introduction to bioinformatics using NGS data” and “Introduction to biostatistics and machine learning” NBIS courses\n\n\n\n\n\n\n\n\nDue to limited space the course can accommodate a maximum of 35 participants. If we receive more applications\, participants will be selected based on selection criteria\, including (but not limited to) correct entry requirements\, motivation to attend the course\, as well as gender and geographical balance.
URL:https://www.scilifelab.se/event/omics-integration-and-systems-biology/
LOCATION:Lund University\, Lund\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20241028T090000
DTEND;TZID=Europe/Stockholm:20241101T170000
DTSTAMP:20260406T200735
CREATED:20240808T121308Z
LAST-MODIFIED:20240809T075123Z
UID:10001316-1730106000-1730480400@www.scilifelab.se
SUMMARY:R Programming Foundations for Data Analysis
DESCRIPTION:The course is addressed to individuals with little or no experience in programming but who are enthusiastic about learning how to use R for data analysis and streamline their work. It is a national course open for PhD students\, postdocs\, researchers and other employees in all Swedish. We also welcome applications from outside of Sweden (EU-zone) and from the non-academic sector\, for more info contact us. NOTE: In October 2024\, the course will be a 5-day-course on-site both in Uppsala and Lund. \n\n\n\n\n\n\n\nVenue – onsite\n\n\n\n\nUppsala University: Experimental room\, Campus Blåsenhus\, von Kraemers allé 1A\, 2nd floor\n\n\n\nLund University: Retina D227\, Biologihuset\n\n\n\n\n\n\n\n\nImportant dates\n\n\n\n\nApplication open: August 08\, 2024\n\n\n\nApplication deadline: September 30\, 2024\n\n\n\nConfirmation to accepted students: October 4\, 2024\n\n\n\n\nResponsible teachers: Nima Rafati\, Guilherme Dias\, Miguel Angel Redondo\, Marcin Kierczak\, Lokeshwaran Manoharan\, Louella Vasquez \n\n\n\nContact for questions: edu.r@nbis.se \n\n\n\n\n\n\n\nCourse fee\n\n\n\nA course fee* of 3000 SEK for non-profit organizations or 15000 SEK for private companies will be invoiced to accepted participants. This includes lunches\, coffee\, snacks\, and one course dinner. \n\n\n\n*Please note that NBIS cannot invoice individuals \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\nCourse content\n\n\n\nThe course covers fundamental concepts of programming and software design focusing on programming in R. We will go through various aspects of R scripting. After introductory lectures on good programming practices\, basic software design theory and a brief overview of R\, we will delve into programming. We start by learning how to use R as a basic calculator\, what are variable types\, how to use data structures\, how to implement repeating actions with and without loops\, and how to take actions based on certain conditions. We gradually proceed to loading data\, importing data from common file formats\, some basic matrix algebra and learning how to perform basic statistical tests and visualize results. You will learn how to document your work and how to generate automatic reports using real-life datasets. During the course you will also be working on a small dataset to apply knowledge you learnt in the course and will present that in a report format towards the end of the workshop. \n\n\n\nTopics covered will include: \n\n\n\n\nVariables and Operators\n\n\n\nMatrices\, lists\, and dataframes\n\n\n\nData manipulation\n\n\n\nVisualization\n\n\n\nR packages\n\n\n\nBioconductor\n\n\n\n\nUpon completion of this course\, you will be able to: \n\n\n\n\nDescribe different data structures commonly used in R.\n\n\n\nWork with different data types.\n\n\n\nImport and export data from and to R environment. \n\n\n\nManipulate data.\n\n\n\nWork with dataframes and lists.\n\n\n\nVisualize the data.\n\n\n\nUse R Markdown to create reports containing text\, code\, tables and/or figures.\n\n\n\n\n\n\n\n\nEntry requirements\n\n\n\nGood general computer literacy is expected\, but no previous experience in programming or R is required. You are expected to know basic concepts in mathematics and statistics\, but the emphasis of the course is to learn how to use R. \n\n\n\nParticipants are expected to use their own computers with pre-installed R and R Studio (detailed instructions will be given upon acceptance). \n\n\n\nDue to our best practice to have a high teacher to student ratio\, there are a maximum number of allowed 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/r-programming-foundations-for-data-analysis/
LOCATION:Uppsala University\, Lund University
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20241111T090000
DTEND;TZID=Europe/Stockholm:20241115T170000
DTSTAMP:20260406T200735
CREATED:20240619T091221Z
LAST-MODIFIED:20240920T111426Z
UID:10001282-1731315600-1731690000@www.scilifelab.se
SUMMARY:Introduction to Python - with application to bioinformatics
DESCRIPTION:National course open for PhD students\, postdocs\, researchers and other employees in all Swedish universities\, in need of fundamental Python skills. We also welcome applications from outside of Sweden and from the non-academic sector\, for more info contact us! \n\n\n\n\n\n\n\nImportant dates and information\n\n\n\nApplication opens: 2024-06-11 \n\n\n\nApplication closes: 2024-09-30 \n\n\n\nConfirmation to accepted students: 2024-10-02 \n\n\n\nCourse Leader and teachers: Dimitris Bampalikis (CL)\, Jeanette Tångrot (CL)\, Nanjiang Shu\, Nina Norgren \n\n\n\nContact: edu.intro-python@nbis.se \n\n\n\n\n\n\n\nCourse locations\n\n\n\nSciLifeLab Uppsala\, Entrance C11\, BMC\, Husargatan 3\, Uppsala OR Umeå University\, Naturvetarhuset\, room NAT.D.370 OR Lund University\, Biologihuset\, rooms Cerebrum höger (D215b) and Cerebrum vänster (D215a) \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\nCourse fee\n\n\n\nA course fee* of 3000 SEK  for academic participants and 15000 SEK for non-academic participants will be invoiced to accepted participants. The fee 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\nCourse content\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 on-site in Uppsala\, Umeå and Lund. Lectures will be streamed online from our Uppsala site to the Umeå and Lund sites. Several teaching assistants will be present in all three classrooms 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\nTopics covered will include: \n\n\n\n\nCore concepts about Python syntax: Data types\, blocks and indentation\, variable scoping\, iteration\, functions\, methods and arguments\n\n\n\nDifferent ways to control program flow using loops and conditional tests\n\n\n\nRegular expressions and pattern matching\n\n\n\nWriting functions and best-practice ways of making them usable\n\n\n\nReading from and writing to files\n\n\n\nCode packaging and Python libraries\n\n\n\nHow to work with biological data using external libraries.\n\n\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\nDescribe and apply basic concepts in Python\, such as:LoopsIf/else statementsFunctions\n\nReading/writing to files\n\n\n\n\n\nBeing able to edit and run Python code\n\n\n\nWrite file-processing Python programs that produce output to the terminal and/or external files\n\n\n\nCreate stand-alone python programs to process biological data\n\n\n\nKnow how to develop your skills in Python after the course (including debugging)\n\n\n\n\n\n\n\n\nEntry requirements\n\n\n\nThe 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 and Lund. If we receive more applications\, participants will be selected based on selection criteria\, including (but not limited to) correct entry requirements\, motivation to attend the course\, as well as gender and geographical balance. \n\n\n\nPlease 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/introduction-to-python-with-application-to-bioinformatics/
LOCATION:Uppsala University\, Lund University or Umeå University
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20241119T090000
DTEND;TZID=Europe/Stockholm:20241121T170000
DTSTAMP:20260406T200735
CREATED:20240701T075350Z
LAST-MODIFIED:20241007T120309Z
UID:10001291-1732006800-1732208400@www.scilifelab.se
SUMMARY:Introduction to Data Management Practices
DESCRIPTION:National Bioinformatics Infrastructure Sweden (NBIS) gives a course in research data management practices. This workshop in Data Management is a unique event that provides an introduction to practices for better data management for PhD students\, postdocs\, researchers\, and other employees within all Swedish universities. We also welcome applications from outside of Sweden and from the non-academic sector; for more information\, contact us. \n\n\n\n\n\n\n\nImportant dates and information\n\n\n\nApplication closes: 2024-10-13 \n\n\n\nInformation to accepted students will be sent: 2024-10-15 \n\n\n\nContact: edu.intro-dm@nbis.se \n\n\n\nVenue: Experimental classroom\, Campus Blåsenhus\, Uppsala University \n\n\n\nFormat: This workshop runs on-site Campus Blåsenhus\, Uppsala. Teachers and teaching assistants will be present all three days to help with exercises and questions. \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\n\n\n\n\nCourse fee\n\n\n\nThis on-site training event costs 2000 SEK for academic and 9500 SEK for non-academic participants and will be invoiced to the participant’s organisation. This includes lunches\, coffee\, and snacks and one course dinner. If you accept a position and do not participate (no-show)\, you will still be invoiced the full fee. Please note that NBIS cannot invoice individuals. \n\n\n\n\n\n\n\nCourse description\n\n\n\nThe workshop will introduce important research data management aspects through lectures\, demonstrations\, and hands-on computer exercises. The course is intended for researchers who want to take the first steps towards a more systematic and reproducible approach to analysing and managing research data. \n\n\n\nTopics covered will include: \n\n\n\n\nOpen Science and FAIR in practice\n\n\n\nOrganising data\, files and folders in research projects\n\n\n\nDescribing data with metadata\n\n\n\nPublishing data to public data repositories\n\n\n\nCleaning tabular data and metadata with OpenRefine\n\n\n\nWriting basic recipes for data analysis and visualisation with R\n\n\n\nVersioning data\, documents and scripts\n\n\n\nWriting Data Management Plans\n\n\n\n\n\n\n\n\nCredits & Certificate\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 the topics covered and the duration of the workshop. \n\n\n\nDue to limitations in space and capacity\, the course can accommodate a maximum of 25 participants. If we receive more applications\, participants will be selected based on several criteria\, including correct entry information\, motivation to attend the course\, as well as gender and geographical balance. \n\n\n\nFor more detailed information about the workshop\, please visit the workshop website. \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. The course organisers arrange a pre-course event approximately one week prior to the first-course day.
URL:https://www.scilifelab.se/event/introduction-to-data-management-practices-8/
LOCATION:Campus Blåsenhus\, von Kraemers allé 1A\, 750 02 Uppsala
CATEGORIES:Course
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20241124T090000
DTEND;TZID=Europe/Stockholm:20241129T170000
DTSTAMP:20260406T200735
CREATED:20240703T145519Z
LAST-MODIFIED:20240703T145521Z
UID:10001292-1732438800-1732899600@www.scilifelab.se
SUMMARY:Introduction to bioinformatics using NGS data
DESCRIPTION:National workshop for PhD students\, postdocs\, researchers\, and other employees within Swedish academia\, introducing the analysis of next generation sequencing data. \n\n\n\nThe course is organized by: National Bioinformatics Infrastructure Sweden (NBIS) and National Genomics Infrastructure (NGI) \n\n\n\nResponsible teachers: Malin Larsson\, Martin Dahlö\, Roy Francis \n\n\n\nContact information: edu.intro-ngs@nbis.se  \n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication opens: July 4\, 2024 \n\n\n\nApplication closes: Oct 13\, 2024 \n\n\n\nConfirmation to accepted participants: 1 week after application deadline \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\n\n\n\n\nCourse fee\n\n\n\nThis on-site training event costs 3000 SEK for academic participants and 15 000 SEK for non-academic participants\, invoiced to the participant’s organisation. If you accept a position and do not participate (no-show) you will still be invoiced at the standard fee. Please note that NBIS cannot invoice individuals.  \n\n\n\n\n\n\n\nCourse description\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\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\n\n\n\n\nLearning outcomes\n\n\n\nAfter this workshop you should be able to: \n\n\n\n\nDescribe the basic principles of next generation sequencing.\n\n\n\nUse the Linux command line interface to manage simple file processing operations\, and organise directory structures.\n\n\n\nConnect to and work on a remote high performance compute cluster.\n\n\n\nApply programs in Linux for analysis of NGS data.\n\n\n\nSummarise 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\nExplain common NGS file formats.\n\n\n\nInterpret quality control of NGS reads.\n\n\n\nExplain the steps involved in variant calling using whole genome sequencing data.\n\n\n\nIndependently perform a basic variant calling workflow on example data.\n\n\n\nDemonstrate hands-on experience with handling raw RNA sequencing data\, QC and quantification of gene expression.\n\n\n\nExplain the steps involved in differential gene expression using RNA seq data.\n\n\n\n\n\n\nEntry requirements\n\n\n\nTo be able to follow the workshop you need to: \n\n\n\nBYOL\, bring your own laptop configured according to precourse instructions. \n\n\n\nHave a background in genetics\, cell biology\, biomedicine\, biochemistry\, bioinformatics or comparable. \n\n\n\nTo get the maximum benefit from the workshop you should: \n\n\n\nHave a research project where you are currently using or are planning to use next generation sequencing.  \n\n\n\n\n\n\n\nSelection criteria\n\n\n\nDue to limited space the course can accommodate a maximum of 30 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. Priority is given to PhD scholars followed by other researchers\, and we will prioritise applications  from Swedish academia.
URL:https://www.scilifelab.se/event/introduction-to-bioinformatics-using-ngs-data-4/
LOCATION:Linköping\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20241125T080000
DTEND;TZID=Europe/Stockholm:20241129T170000
DTSTAMP:20260406T200735
CREATED:20240823T090255Z
LAST-MODIFIED:20240823T090341Z
UID:10001335-1732521600-1732899600@www.scilifelab.se
SUMMARY:NBIS/ELIXIR-SE Tools for Reproducible Research
DESCRIPTION:NBIS / ELIXIR-SE course open for PhD students\, postdocs\, group leaders and core facility staff at all Swedish universities interested in making their computational analysis more reproducible. \n\n\n\nImportant dates and information\n\n\n\nApplication opens: 2024-08-26 \n\n\n\nApplication closes: 2024-10-18 \n\n\n\nConfirmation to accepted students: 2024-10-25 \n\n\n\nCourse Leader and teachers: \n\n\n\n\nJohn Sundh (CL)\n\n\n\nErik Fasterius (CL)\n\n\n\nEstelle Proux-Wéra\n\n\n\nLokeshwaran Manoharan\n\n\n\nTomas Larsson\n\n\n\nCormac Kinsella\n\n\n\nMahesh Binzer-Panchal\n\n\n\n\nIn case you miss information on any of the above dates\, please contact:  edu.trr@nbis.se \n\n\n\nApply here\n\n\n\nContact information: edu.trr@nbis.se \n\n\n\nCourse fee\n\n\n\nA course fee* of 3000 SEK will be invoiced to accepted participants. The fee includes lunches\, coffee/tea and snacks as well as a course dinner. \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\nCourse content\n\n\n\nThis course will introduce best practices in making research reproducible – from code tracking to software packaging and documentation – via short lectures and hands-on tutorials. \n\n\n\nTopics covered will include: \n\n\n\n\nGood practices for data analysis\n\n\n\nVersion control and collaborative code development\n\n\n\nPackage and environment management\n\n\n\nWorkflow management\n\n\n\nDocumentation and reporting\n\n\n\nContainerized computational environments\n\n\n\n\nLearning Outcomes \n\n\n\nUpon completion of this course\, you will be able to: \n\n\n\n\nOrganize and structure computational projects\n\n\n\nTrack changes and collaborate on code using Git\n\n\n\nInstall packages and manage software environments using Conda\n\n\n\nStructure computational steps into workflows with Snakemake and Nextflow\n\n\n\nCreate automated reports and document their analyses with Quarto and Jupyter\n\n\n\nPackage and distribute computational environments using Docker and Singularity\n\n\n\n\nEntry requirements\n\n\n\nThe following is a list of skills required for being able to follow the course and complete the exercises: \n\n\n\n\nFamiliarity with using the terminal (e.g. be familiar with commands such as ls\, cd\, touch\, mkdir\, pwd\, wget\, man\, etc.)\n\n\n\nSome knowledge in R and/or python is beneficial but not strictly required\n\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 selection criteria\, including (but not limited to) correct entry requirements\, motivation to attend the course\, as well as gender and geographical balance.
URL:https://www.scilifelab.se/event/nbis-elixir-se-tools-for-reproducible-research-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:20241125T090000
DTEND;TZID=Europe/Stockholm:20241129T170000
DTSTAMP:20260406T200735
CREATED:20240918T091340Z
LAST-MODIFIED:20240918T091341Z
UID:10001358-1732525200-1732899600@www.scilifelab.se
SUMMARY:Biostatistics and Machine Learning II
DESCRIPTION:National course for PhD students\, researchers\, and other employees across Swedish universities who seek to deepen their biostatistical and machine learning skills.  Building on the Introduction to Biostatistics and Machine Learning course\, this course expands on common life science data analysis methods\, including dimensionality reduction techniques beyond PCA\, mixed-effects models for analysis of repeated measures\, and survival analysis. We will also dive deeper into machine learning\, covering more classification algorithms\, ensemble techniques\, optimization strategies and PLS methods for single and multi-omics data analysis. \n\n\n\n\n\n\n\nImportant dates\n\n\n\nApplication open: now \n\n\n\nApplication closes: 2024-10-18 \n\n\n\nConfirmation to accepted students:  2024-10-25 \n\n\n\nResponsible teachers:  Payam Emami\, Olga Dethlefsen\, Eva Freyhult \n\n\n\nIf you do not receive information according to the above dates please contact edu.ml-biostats@nbis.se \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\nCourse fee\n\n\n\nA course fee of 3000 SEK for academic participants and 15 000 SEK for non-academic participants will be invoiced to accepted participants. The fee 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\n\nDimensionality reduction techniques beyond PCA\n\n\n\nClassification algorithm and ensemble techniques\n\n\n\nMachine learning optimization strategies\n\n\n\nPLS-based methods for single and multi-omics data analysis\n\n\n\nMixed-effects models for repeated measures\, longitudinal studies and nested designs\n\n\n\nSurvival analysis\n\n\n\nIntroduction to neural networks\n\n\n\n\n\n\n\n\nEducation\n\n\n\nIn this course\, we focus on an active learning approach. The education consists of teaching blocks alternating between lectures\, group discussions\, live coding sessions etc. \n\n\n\n\n\n\n\nEntry requirements\n\n\n\n\nBasic R and Python data science skills (for more details see course website)\n\n\n\nHaving attended the Introduction to Biostatistics and Machine Learning course or having equivalent knowledge\n\n\n\nBYOL (bring your own laptop)\n\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.
URL:https://www.scilifelab.se/event/biostatistics-and-machine-learning-ii/
LOCATION:Navet\, SciLifeLab Uppsala\, SciLifeLab Uppsala\, BMC C11\, Husargatan 3\, Uppsala\, 75237\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS & Training Hub":MAILTO:traininghub@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20241202T090000
DTEND;TZID=Europe/Stockholm:20241206T170000
DTSTAMP:20260406T200735
CREATED:20240913T103340Z
LAST-MODIFIED:20241129T105934Z
UID:10001354-1733130000-1733504400@www.scilifelab.se
SUMMARY:Population genomics in practice - Cancelled
DESCRIPTION:Note – this course has been cancelled. National course open for PhD students\, postdocs\, researchers and other employees in all Swedish universities\, in need of  hands-on and practical skills for the analyses of population genomics data. We also welcome applications from outside of Sweden and from the non-academic sector\, for more info contact us! \n\n\n\n\n\n\n\nImportant dates and information\n\n\n\nApplication opens: 2024-09-09 \n\n\n\nApplication closes: 2024-10-15 \n\n\n\nConfirmation to accepted students: 2024-10-30 \n\n\n\nCourse Leader and teachers: Per Unneberg (CL)\, André Soares (CL)\, Nikolay Oskolkov\, Jason Hill \n\n\n\nIn case you miss information on any of the above dates\, please contact: edu.population-genomics-in-practice@nbis.se \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\nCourse fee\n\n\n\nA course fee* of 3000 SEK  for academic participants and 15000 SEK for non-academic participants will be invoiced to accepted participants. The fee 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\nThe aim of this workshop is to provide an introduction to commonly used methods in population genomics. As the focus of the course is on hands-on work\, the topics have been designed to cover the fundamental analyses that are common in many population genomics studies. The course consists of lectures and exercises\, with a focus on the practical aspects of analyses. Whereas lectures introduce some background theory\, their primary aim is to set the stage for accompanying exercises. \n\n\n\nTopics covered will include: \n\n\n\n\nFoundations of population genetics\n\n\n\nIntroduction to simulation and the coalescent\n\n\n\nBasics of variant calling\n\n\n\nVariant filtering and sequence masks\n\n\n\nCharacterization and interpretation of DNA sequence variation\n\n\n\nCalculation and interpretation of summary statistics from variation data\n\n\n\nInvestigating population structure with admixture modelling and principal component analyses\n\n\n\nDemographic modelling using sequentially Markovian coalescent models and linkage disequilibrium\n\n\n\nSelection scans\n\n\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\ndescribe the different forces of evolution and how they influence genetic variation\n\n\n\nunderstand and interpret genealogical trees and how they relate to genetic variation data\n\n\n\ndescribe the basics of the coalescent\n\n\n\nperform simple coalescent simulations with msprime\n\n\n\nrun simple SLiM forward simulation models\n\n\n\ndescribe and run the steps of a variant calling pipeline\, including quality control of raw reads\, read mapping\, and variant calling\n\n\n\nknow how and when to filter raw variant calls using manual coverage filters\n\n\n\ndescribe and calculate nucleotide diversity from variation data\n\n\n\nanalyse population structure with admixture modelling and dimensionality reduction methods\n\n\n\nperform demographic modelling with sequential Markovian coalescent models\n\n\n\ndescribe methods that identify regions undergoing adaptation and selection\n\n\n\nrun selection scans\, score identified regions and interpret findings in the context of genome annotations\n\n\n\n\n\n\n\n\nEntry requirements\n\n\n\nThe following is a list of skills required for being able to follow the course and complete the exercises: \n\n\n\n\nBasic knowledge in R or Python\n\n\n\nBasic knowledge of variant calling\, or the equivalent of NBIS course “Introduction to Bioinformatics using NGS data”\n\n\n\nBasic knowledge of population genetics\n\n\n\nBasic understanding of frequentist statistics\n\n\n\nA computer\n\n\n\n\nDesirable\, but not essential\, skills increasing the output of the course\, include: \n\n\n\n\nExperience with analysis of NGS and other omic data\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 selection criteria\, including (but not limited to) correct entry requirements\, motivation to attend the course\, as well as gender and geographical balance.
URL:https://www.scilifelab.se/event/population-genomics-in-practice-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:20250210T080000
DTEND;TZID=Europe/Stockholm:20250214T170000
DTSTAMP:20260406T200735
CREATED:20250109T134216Z
LAST-MODIFIED:20250110T111623Z
UID:10001449-1739174400-1739552400@www.scilifelab.se
SUMMARY:Chameleon Workshop
DESCRIPTION:Chameleon workshop – a practical workshop to give the opportunity to the attendants to check their own samples and start familiarising with the machine. \n\n\n\nThis is a fully practical course to give attendants the opportunity to get to know what can be obtained using the Chameleon for cryo-EM sample preparation\, how to use the machine  and give it a go with their own samples. It is organised according to the schedule below.  \n\n\n\nregistration\n\n\n\n\n\n\n\nThe first day will be open to all applicants for a presentation and a demo from the Chameleon team. The following four days will be organised in personalised training/demo sessions. We will choose 8 samples from all applications and every day we will run 2 samples with groups of maximum 4 people (due to space restraints).  If you are interested please read carefully the attached document.
URL:https://www.scilifelab.se/event/chameleon-workshop/
LOCATION:SciLifeLab Campus Solna\, Tomtebodavägen 23 A\, Solna\, Sweden
CATEGORIES:Course
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2025/01/Chameleon-scaled.jpg
ORGANIZER;CN="Cryo-EM Infrastructure Unit":MAILTO:cryoem_stockholm_lab@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20250211T080000
DTEND;TZID=Europe/Stockholm:20250213T170000
DTSTAMP:20260406T200735
CREATED:20250107T150231Z
LAST-MODIFIED:20250207T091420Z
UID:10001426-1739260800-1739466000@www.scilifelab.se
SUMMARY:Basic Course in Scanning and Transmission Electron Microscopy (SEM/TEM)
DESCRIPTION:This course covers lectures and practical demonstrations in SEM and TEM techniques. The contents include principles of electron microscopy\, specimen preparation\, cryo-electron microscopy and correlative light-electron microscopy. The main focus will be on imaging biological samples\, but the course may also be suitable for material scientists interested in high-resolution electron microscopy.Course overview \n\n\n\nApplication deadline:28 January 2025 \n\n\n\nLocation:Lectures at the KBC Building and laboratory demonstrations at UCEM. \n\n\n\nParticipants:18 persons \n\n\n\nInstructors:UCEM staff \n\n\n\nDuration:3 days \n\n\n\nBreaks/Refreshments:Coffee\, cookies and fruit. \n\n\n\nCosts:No course fee\, but full attendance is required! \n\n\n\nExamination/Credits:Oral and practical examinations are conducted during laboratory demonstrations. A course certificate will be given after participants attend all lectures and laboratory demonstrations for this 3-day course. UCEM recommends PhD program examiners to give 1 ECTS after successful participation.
URL:https://www.scilifelab.se/event/basic-course-in-scanning-and-transmission-electron-microscopy-sem-tem-for-life-sciences-2/
LOCATION:KBC Building Umeå\, Linneaus Väg 6\, Umeå
CATEGORIES:Course
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2025/01/P1010953-scaled.jpg
ORGANIZER;CN="UCEM Ume%C3%A5":MAILTO:hussein.haggag@umu.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20250310T080000
DTEND;TZID=Europe/Stockholm:20250314T170000
DTSTAMP:20260406T200735
CREATED:20241212T094918Z
LAST-MODIFIED:20250207T090557Z
UID:10001416-1741593600-1741971600@www.scilifelab.se
SUMMARY:Workshop for Cryo-electron Tomography
DESCRIPTION:Location: UCEM facility (EM-building) and Chemical Biological Centre (KBC) building\, Umeå University\, Linnaeus väg 6\, Umeå \n\n\n\nDeadline for registration: 13 January 2025 \n\n\n\nCryo-electron tomography (cryo-ET) is a powerful structural technique. Its power comes from its versatility to study biological systems in vitro or in situ\, i.e. within cells or tissue. It has the ability to reach uncharted regions in biological systems at high resolution. Advancements in microscopes\, cameras\, and computation make it now possible to determine sub-10 Å 3-dimensional structures of molecules directly within cells. \n\n\n\nThis four-and-a-half-day workshop will cover cryo-ET workflows from sample preparation on EM grids to data processing and analysis. The workshop will be a mixture of lectures and practical sessions. Participants will get hands-on experience in sample preparation on EM grids (micropatterning)\, sample freezing (plunge freezing and high-pressure freezing)\, cryo-correlative light and electron microscopy (cryo-CLEM)\, cryo-focused ion beam milling (cryo-FIB)\, cryo-TEM tiltseries data collection\, and data processing and analysis (MotionCor2\, IMOD\, Dynamo). \n\n\n\nIt is compulsory that applicants have previous cryo-EM experience either with single-particle or already with cryo-tomography. \n\n\n\nThis workshop is supported by SciLifeLab\, CryoNET and Umeå University and organized by the Umeå Centre for Electron Microscopy (UCEM). \n\n\n\nContact email: erin.schexnaydre@umu.se
URL:https://www.scilifelab.se/event/workshop-for-cryo-electron-tomography/
LOCATION:KBC Building Umeå\, Linneaus Väg 6\, Umeå
CATEGORIES:Course
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2020/11/CryoEM.jpg
ORGANIZER;CN="UCEM Ume%C3%A5":MAILTO:hussein.haggag@umu.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20250324T080000
DTEND;TZID=Europe/Stockholm:20250328T170000
DTSTAMP:20260406T200735
CREATED:20250110T131412Z
LAST-MODIFIED:20250304T085100Z
UID:10001452-1742803200-1743181200@www.scilifelab.se
SUMMARY:Introduction to bioinformatics using NGS data
DESCRIPTION:National workshop for PhD students\, postdocs\, researchers\, and other employees within Swedish academia\, introducing the analysis of next generation sequencing data. \n\n\n\nResponsible teachers: Malin Larsson\, Martin Dahlö\, Roy Francis \n\n\n\nContact information: edu.intro-ngs@nbis.se   \n\n\n\nImportant dates\n\n\n\nApplication opens: 13-Jan-2025 \n\n\n\nApplication closes: 23-Feb-2025 \n\n\n\nConfirmation to accepted students: Week 9\, 2025 \n\n\n\nCourse fee\n\n\n\nThis online training event is subsidized by academic grants and thereby free of charge for academic participants. The fee for non-academic participants is 12 000 SEK.   \n\n\n\nNon-show fee: If you accept a position at the workshop but fail to attend without a valid reason (sickness or urgent family matter)\, you will be liable for a now-show fee  of 3000 SEK (for academic participants) or the full fee (for non-academic participants).  \n\n\n\nPlease note that NBIS cannot invoice individuals. \n\n\n\nApply here\n\n\n\nCourse description\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\nCourse content\n\n\n\nBriefly\, the workshop covers the followings major topics: \n\n\n\n●      Working on the UNIX/LINUX command line \n\n\n\n●      Bioinformatic/NGS data formats and QC \n\n\n\n●      DNA variant calling workflow essentials \n\n\n\n●      RNA sequence analysis workflow essentials \n\n\n\nLearning outcomes\n\n\n\nAfter this workshop you should be able to: \n\n\n\n●      Describe the basic principles of next generation sequencing. \n\n\n\n●      Use the Linux command line interface to manage simple file processing operations\, and organise 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●      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●      Demonstrate hands-on experience with handling raw RNA sequencing data\, QC and quantification of gene expression. \n\n\n\n●      Explain the steps involved in differential gene expression using RNA seq data. \n\n\n\nEntry requirements\n\n\n\nTo be able to follow the workshop you need to: \n\n\n\nBYOL\, bring your own laptop configured according to precourse instructions. \n\n\n\nHave a background in genetics\, cell biology\, biomedicine\, biochemistry\, bioinformatics or comparable. \n\n\n\nTo get the maximum benefit from the workshop you should: \n\n\n\nHave a research project where you are currently using or are planning to use next generation sequencing. \n\n\n\nSelection criteria\n\n\n\nIf we receive more applications than we have seats in the course\, 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. Priority is given to PhD scholars followed by other researchers\, and we will prioritise applications  from Swedish academia.
URL:https://www.scilifelab.se/event/introduction-to-bioinformatics-using-ngs-data-5/
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:20250331T080000
DTEND;TZID=Europe/Stockholm:20250403T170000
DTSTAMP:20260406T200735
CREATED:20241218T133816Z
LAST-MODIFIED:20250224T141503Z
UID:10001419-1743408000-1743699600@www.scilifelab.se
SUMMARY:Single-Cell RNA-Seq Data Analysis
DESCRIPTION:National course open for PhD students\, postdocs\, researchers and other employees in all Swedish universities\, in need of single cell RNAseq analysis skills. We also welcome applications from outside of Sweden and from the non-academic sector\, for more info contact us! \n\n\n\nCourse dates: 31 March 2025 – 3 April 2025 and 10 April 2025 \n\n\n\nImportant dates and information\n\n\n\nApplication opens: 2024-12-18 \n\n\n\nApplication closes: 2025-02-28 \n\n\n\nConfirmation to accepted students: 2025-03-07 \n\n\n\nCourse Leader and teachers: Åsa Björklund (CL)\, Susanne Reinsbach (CL)\, Jennifer Fransson (CL) \n\n\n\nIn case you miss information on any of the above dates\, please contact: edu.sc [at] nbis.se \n\n\n\nCourse fee\n\n\n\nThis online training event has no fee for academic participants. However\, if you accept a position at the workshop and do not participate (no-show) you will be invoiced 3000 SEK. For non-academic participants a course fee* of 12000 SEK  will be invoiced. \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\nRegister here\n\n\n\nCourse content\n\n\n\nThis workshop will introduce the best practice bioinformatics methods for analysing single cell RNA-seq data via a series of lectures and computer practicals. The total course duration is 5 days which includes 4 days of lectures and exercises followed by a “Bring Your Own Data” (BYOD) day where you get to practice your skills on a dataset of your choosing. Please note that the BYOD section will take place the week after the lectures. \n\n\n\nTopics covered will include: \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\nCell type prediction\n\n\n\nTrajectory inference analysis\n\n\n\nComparison of Seurat\, Bioconductor and Scanpy toolkits\n\n\n\n\nLearning Outcomes\n\n\n\nUpon completion of this course\, you will be able to run analysis on your own data\, select appropriate analysis methods and interpret the results. \n\n\n\nEntry requirements\n\n\n\nThe following is a list of skills required for being able to follow the course and complete the exercises: \n\n\n\n\nYou are familiar with basic UNIX command line (bash)\n\n\n\nYou are familiar with either R and/or Python\n\n\n\nYou already understand the basics of NGS technologies\n\n\n\nYou are familiar with analyses of bulk RNA-sequencing data\n\n\n\nYou have full access to your computer (admin permissions). Instructions on installation will be sent by email to accepted participants.\n\n\n\n\nThe course accommodates a maximum of 25 participants. If we receive more applications\, participants will be selected based on selection criteria\, including (but not limited to) correct entry requirements\, motivation to attend the course\, as well as gender and geographical balance. \n\n\n\nContact\n\n\n\neducation@nbis.se
URL:https://www.scilifelab.se/event/single-cell-rna-seq-data-analysis-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:20250401T080000
DTEND;TZID=Europe/Stockholm:20250403T170000
DTSTAMP:20260406T200735
CREATED:20241218T134606Z
LAST-MODIFIED:20250303T090005Z
UID:10001420-1743494400-1743699600@www.scilifelab.se
SUMMARY:Introduction to Data Management Practices
DESCRIPTION:Introduction to Data Management Practices\n\n\n\nNational Bioinformatics Infrastructure Sweden (NBIS) gives a course in research data management practices. This workshop in Data Management with an updated curriculum is a unique event that provides an introduction to practices for better data management for PhD students\, postdocs\, researchers\, and other employees within all Swedish universities. We also welcome applications from outside of Sweden and from the non-academic sector; for more information\, contact us. \n\n\n\nCourse description\n\n\n\nThe workshop will introduce important research data management aspects through lectures\, demonstrations\, and hands-on computer exercises. The course is intended for researchers who want to take the first steps towards a more systematic and reproducible approach to documenting\, describing and managing research data. \n\n\n\nTopics covered will include \n\n\n\n\nOpen Science and FAIR in practice\n\n\n\nOrganising data\, files and folders in research projects\n\n\n\nDescribing data with metadata\n\n\n\nDocumentation using Markdown\n\n\n\nPublishing data to public data repositories\n\n\n\nCleaning tabular data and metadata with OpenRefine\n\n\n\nVersioning data\, documents and scripts (e.g. by using Git & GitHub)\n\n\n\nWriting Data Management Plans\n\n\n\n\nNote that the covered topics have been updated from previous course events. \n\n\n\nImportant dates and information\n\n\n\nWorkshop Dates: 2025-04-01 – 2025-04-03 \n\n\n\nApplication closes: 2025-03-10 \n\n\n\nVenue: Air&Fire\, Gamma-2\, SciLifeLab Solna \n\n\n\nFormat: This workshop runs on-site in Solna\, Stockholm. Teaching assistants and instructors will be available throughout the course to help you with exercises and questions. \n\n\n\n\n\nApplication\n\n\n\n\n\nCourse website\n\n\n\n\n\nCourse fee\n\n\n\nThe fee for this on-site training is: \n\n\n\n\n2000 SEK for participants from academic institutions\n\n\n\n9500 SEK for participants from non-academic organisations\n\n\n\n\nThe fee includes lunches\, coffee breaks\, snacks\, and a course dinner. \n\n\n\nInvoices will be sent to the participant’s organisation. If you accept a spot in the course but do not attend (no-show)\, the full fee will still be charged. Please note that NBIS cannot invoice individuals directly. \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\nCertification\n\n\n\nParticipants who attend all sessions and complete the exercises will receive a certificate of participation\, outlining the topics covered and the workshop duration. Please note that this course does not offer formal university credits. \n\n\n\nLimited Spots Available\n\n\n\nThe course can accommodate a maximum of 25 participants\, and applications will be handled on a first-come\, first-served basis. \n\n\n\nAdditional Information\n\n\n\nFor more details\, visit the workshop website. \n\n\n\nPre-course Preparation:  \n\n\n\nApproximately one week before the workshop\, we will host a pre-course session to help participants set up the required software on their laptops. \n\n\n\nFor any questions\, feel free to contact us at edu.intro-dm [at] nbis.se. \n\n\n\nApply now to secure your spot in this valuable and interactive workshop!
URL:https://www.scilifelab.se/event/introduction-to-data-management-practices-9/
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:20250414T133000
DTEND;TZID=Europe/Stockholm:20250416T170000
DTSTAMP:20260406T200735
CREATED:20241128T105115Z
LAST-MODIFIED:20250131T134602Z
UID:10001412-1744637400-1744822800@www.scilifelab.se
SUMMARY:SciLifeLab Train the Trainer Course
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 the following topics: \n\n\n\n\nLearning principles and how they apply to training and teaching\n\n\n\nDesign and plan session\, course\, materials\n\n\n\nTeaching techniques to enhance learner engagement and participation\n\n\n\nAssessment and feedback in training and teaching\n\n\n\nCreating and maintaining engagement\n\n\n\n\nThis course is directed towards anyone who 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\n\nHow learning works?\n\n\n\nHow do I use learning principles and theories to improve my teaching/training?\n\n\n\nHow do I make my teaching/training more engaging and effective?\n\n\n\nHow should I adjust my teaching/training to different types of learners?\n\n\n\nHow do I ensure learning progress?\n\n\n\nHow can I assess whether my students are actually understanding my lessons? Are they actually learning?\n\n\n\nWhat is the best balance between theory and practice?\n\n\n\nHow can I best assess whether learning is occurring and/or has occurred?\n\n\n\nWhat works in a classroom and what doesn’t?\n\n\n\n\nImportant dates and information\n\n\n\nApplication open: November 25\, 2024Application closes: February 28\, 2025Confirmation to accepted applicants: March 7\, 2025 \n\n\n\nThe course will run:April 14: 13:30-16:30April 15: 09:00-16.30April 16: 09:00-16.30 \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\nRegistration\n\n\n\nTo preview the course content\, you can take a look at the 2024 Train the Trainer (Online) Course website \n\n\n\nLearning Objectives and Learning Outcomes\n\n\n\nLearning Objectives \n\n\n\n\nTo get acquainted with Learning principles and how they apply to training\n\n\n\nTo be able to select and use training techniques that can help enhance learner engagement and participation\n\n\n\nTo learn how to use assessment and feedback in training\n\n\n\nTo learn about session\, course\, and materials design as well as strategies for making learning engaging\n\n\n\n\nLearning Outcomes \n\n\n\nBy the end of this course\, learners will be able to: \n\n\n\n\nName learning principles that a good teacher/instructor should have in mind\n\n\n\nDescribe at least three training techniques\, drawing on learning principles\n\n\n\nDesign a training session and a course\n\n\n\nDevelop assessment questionnaires\n\n\n\nEnumerate types of materials needed for each part of a training session or course\n\n\n\nDescribe strategies to promote engagement amongst learners\n\n\n\n\nTarget Audience\n\n\n\nThis course is directed towards anyone who is interested in becoming a trainer/instructor\, or improving your training skills. \n\n\n\nCourse fee:\n\n\n\nNone. The course includes lunches\, coffee/tea and snacks. \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 selection criteria: Priority will be given to applicants from SciLifeLab infrastructures\, institutes and organizations across the Nordic research community\, and to participants from Nordic ELIXIR nodes.
URL:https://www.scilifelab.se/event/scilifelab-train-the-trainer-course-2025/
LOCATION:BMC – Biomedical Centre (Lund)\, Sölvegatan 19\, Lund\, 22362\, Sweden
CATEGORIES:Course
ORGANIZER;CN="Training Hub":MAILTO:traininghub@scilifelab.se
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20250505T130000
DTEND;TZID=Europe/Stockholm:20250509T123000
DTSTAMP:20260406T200735
CREATED:20241128T102310Z
LAST-MODIFIED:20250113T123652Z
UID:10001411-1746450000-1746793800@www.scilifelab.se
SUMMARY:Open Science in the Swedish Context
DESCRIPTION:Are you ready to meet Sweden’s Open Science goals? \n\n\n\nIn this multifaceted\, interactive\, national course\, a panel of experts from across Sweden’s Open Science landscape will equip participants with the most important tools needed to implement Open Science practices into every step of the research project lifecycle.  \n\n\n\nTopics covered include: \n\n\n\n\nOpen Science: what’s in it for you?\n\n\n\nThe state of Open Science in Sweden\n\n\n\nEliminating publication bias: how to publish a registered report\n\n\n\nData reuse with the help of data repositories\n\n\n\nGood research practice in Sweden\n\n\n\nNew ways of academic publishing: Open Access and beyond\n\n\n\nGetting credit for all your research outputs: DOIs and licensing\n\n\n\nAdvances in researcher evaluation: funder and institutional perspectives\n\n\n\nScience communication and citizen science\n\n\n\n\nThis is a nationally offered course open to PhD students\, postdocs\, researchers\, PIs and other employees at all Swedish universities who would want to implement Open Science practices into every step of their research projects.  \n\n\n\nImportant dates and information:\n\n\n\nApplication open: November 28\, 2024 \n\n\n\nApplication closes: February 28\, 2025 \n\n\n\nConfirmation to accepted applicants: March 7\, 2025 \n\n\n\nThis course runs in-person from May 5-9\, with an additional online session on May 27th! \n\n\n\nPlease note:  \n\n\n\n\nThis 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\nParticipants need to bring a laptop.\n\n\n\n\nRegistration\n\n\n\nCourse website\n\n\n\nCourse Fee:\n\n\n\nNone. The course includes lunches\, coffee/tea and snacks. \n\n\n\nLearning outcomes\n\n\n\nUpon completion of this course\, participants will be able to: \n\n\n\n\nExplain what Open Science is\, and discuss the benefits and challenges that come with its implementation\, specifically in the Swedish context\n\n\n\nDescribe the most common Open Science practices throughout every step of the research project lifecycle\n\n\n\nImplement Open Science practices into their own workflow\n\n\n\n\nThis course is led by\n\n\n\nIneke Luijten (SciLifeLab\, 0000-0001-5768-275X) ineke.luijten@scilifelab.se\,  \n\n\n\nElin Kronander (NBIS\, 0000-0003-0280-6318) elin.kronander@scilifelab.se\,  \n\n\n\nDavid Rayner (SND\, 0000-0003-0545-3634) david.rayner@gu.se
URL:https://www.scilifelab.se/event/open-science-swedish-context/
LOCATION:Air&Fire\, SciLifeLab Stockholm\, Tomtebodavägen 23A\, Solna\, Sweden
CATEGORIES:Course
ORGANIZER;CN="Training Hub%2C NBIS%2C and SND":MAILTO:traininghub@scilifelab.se
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20250513T080000
DTEND;TZID=Europe/Stockholm:20250515T170000
DTSTAMP:20260406T200735
CREATED:20250122T135937Z
LAST-MODIFIED:20250123T155444Z
UID:10001459-1747123200-1747328400@www.scilifelab.se
SUMMARY:Advanced Data Visualization
DESCRIPTION:National course is open for PhD students\, postdocs\, group leaders\, core facility staff and other employees in all Swedish universities who are interested in learning to produce high quality figures for publication and presentation purposes. We also welcome applications from outside of Sweden and from the non-academic sector\, for more info contact us! \n\n\n\nImportant dates and information\n\n\n\nApplication opens: January 28\, 2025 \n\n\n\nApplication closes: March 31\, 2025 \n\n\n\nConfirmation to accepted students: April 11\, 2025 \n\n\n\nFormat: This workshop runs on-site in Lund. Teaching assistants and instructors will be available throughout the course to help you with exercises and questions. \n\n\n\nResponsible teachers: Lokeshwaran Manoharan\, Markus Ringnér\, Louella Vasquez\, Katja Kozjek \n\n\n\nContact information: edu.plotting.r@nbis.se \n\n\n\n\n\nApplication\n\n\n\n\n\nCourse website\n\n\n\n\n\nCourse fee\n\n\n\nThe fee for this on-site training is: \n\n\n\n\n2000 SEK for participants from academic institutions\n\n\n\n9500 SEK for participants from non-academic organisations\n\n\n\n\nThe fee includes lunches\, coffee breaks\, snacks\, and a course dinner. \n\n\n\nIf you accept a spot in the course but do not attend (no-show)\, the full fee will still be charged. *Please note that NBIS cannot invoice individuals directly. \n\n\n\nCourse content\n\n\n\nPeople with all expertise-levels in R and plotting are encouraged to apply. The course materials can be organized to match your level and the TAs would be happy to help you to attain your needs. \n\n\n\nThis course is designed to help researchers in visualizing their data through various techniques using R and Quarto. Participants will learn how to create publication-ready visualisations with R. Additionally\, the course also includes introductions to Quarto and dynamic plotting using tools like plotly\, OJS\, etc. The last day of the course includes interactive plotting that can be hosted on a web server\, enabling researchers to share and explore visualizations of their data. \n\n\n\nTopics covered will include: \n\n\n\n\nUsing the language of graphics: ggplot2\n\n\n\nBasic and advanced plotting in ggplot2\n\n\n\nSingle-cell data visualizations with Seurat\n\n\n\nQuarto notebooks and reports\n\n\n\nDynamic plotting with Quarto\n\n\n\nInteractive web apps with Shiny\n\n\n\n\nLearning Outcomes\n\n\n\nUpon completion of this course\, you will be able to: \n\n\n\n\nHandle data in R for visualizations\n\n\n\nFamiliarize with ggplot2 functions and techniques\n\n\n\nCombine different data and/or different plots that are of publication-ready\n\n\n\nCreate interactive documents with Quarto for data exploration and analysis\n\n\n\nWrite your own simple Shiny app in R\n\n\n\n\nEntry requirements\n\n\n\nThe following is a list of skills required for being able to follow the course and complete the exercises: \n\n\n\n\nFamiliarity with R and R Studio\n\n\n\nPlotting using standard R graphics\n\n\n\nParticipants are expected to use their own computers with pre-installed R\, R Studio and different R packages (detailed instructions will be given upon acceptance).\n\n\n\n\nThe course can accommodate a maximum of 20 participants. If we receive more applications\, participants will be selected based on selection criteria\, including (but not limited to) correct entry requirements\, motivation to attend the course\, as well as gender and geographical balance. \n\n\n\nAdditional information\n\n\n\nFor more details\, visit the webpage:\n\n\n\nFor beginner level \n\n\n\nFor advanced level (The content of this page is regularly updated until the course)
URL:https://www.scilifelab.se/event/advanced-data-visualization/
LOCATION:Medicon Village\, Scheelevägen 2\, Lund\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20250609T080000
DTEND;TZID=Europe/Stockholm:20250619T170000
DTSTAMP:20260406T200735
CREATED:20250121T125239Z
LAST-MODIFIED:20250121T125322Z
UID:10001457-1749456000-1750352400@www.scilifelab.se
SUMMARY:Raukr 2025 - Summer School - R beyond the basics
DESCRIPTION:Course description\n\n\n\nJoin us this June in the beautiful and historic town of Visby and sharpen your R skills with like-minded enthusiasts! As the use of R continues to flourish within the realms of Life Science and Bioinformatics – revolutionizing data transformation\, statistical analysis\, and the creation of visuals ready for publication – we are thrilled to offer a workshop dedicated to elevating your expertise with R. \n\n\n\nWe are excited to announce our invited guest instructors for this year: Jennifer Bryan (Posit)\, Christophe Dervieux (Posit) and Henrik Bengtsson (UCSF). \n\n\n\nPlease consider joining us for this enriching experience. For more details and to apply\, visit our homepage. We’d also greatly appreciate you sharing this opportunity with others who might be interested. \n\n\n\nCourse content\n\n\n\nWe will be covering a number of topics in R programming with focus on R features helpful in bioinformatics and computational biology data analyses workflow: \n\n\n\n\nReproducible research in R (Quarto\, Rmarkdown\, Renv)\n\n\n\nCollaborative work using Git and GitHub\n\n\n\nR code style guide & best practices\n\n\n\nCode debugging\, optimization and profiling\n\n\n\nParallelization and vectorization in R\n\n\n\nCrafting your own functions\n\n\n\nObject oriented programming and R classes: S3\, S4\, R6 and RC\n\n\n\nAnatomy of an R package: Creating your own package from scratch\n\n\n\nTidy data flow using tidyverse\n\n\n\nUsing the language of graphics: ggplot2\n\n\n\nDeveloping web applications using Shiny\n\n\n\nR and Python integration using reticulate\n\n\n\nTeam project work – developing data analyses workflow in R using acquired skills\n\n\n\n\nLearning outcomes\n\n\n\nUpon completion of this course\, you will be able to: \n\n\n\n\nWork collaboratively and reproducibly in R\n\n\n\nOptimize R code\n\n\n\nUnderstand R code to a greater extent\n\n\n\nCreate better visualizations\n\n\n\nAnd more!\n\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 are a number of places reserved for participants from Sweden. Due to limited space the course can accommodate approximately 45 participants. If we receive more applications\, participants will be selected based on selection criteria\, including (but not limited to) correct entry requirements\, motivation to attend the course\, as well as gender and geographical balance. \n\n\n\nBy participating in this workshop\, you agree to the NBIS Code of conduct: https://uppsala.instructure.com/courses/105973/pages/code-of-conduct \n\n\n\nCourse fee\n\n\n\nThis on-site training event costs 9500 SEK for academic participants and 19 000 SEK for non-academic participants\, invoiced to the participant’s organization. If you accept a position and do not participate (no-show) you will still be invoiced at the standard fee. Please note that NBIS cannot invoice individuals. \n\n\n\nThe fee includes: \n\n\n\n\nParticipation in lectures and workshops\n\n\n\nMingle reception with snacks and drinks\n\n\n\nDaily breakfast/coffee\, lunch and afternoon coffee during the workshop\n\n\n\nOne official course dinner\n\n\n\nSurprise social activities\n\n\n\n\nNOT included in the fee: \n\n\n\n\nAccommodation\n\n\n\nTravel to and from Visby\n\n\n\nDaily dinners\n\n\n\n\nImportant information\n\n\n\nApplication opens: 13 Jan 2025 \n\n\n\nApplication closes: 06 Apr 2025 \n\n\n\nConfirmation to accepted participants: Rolling acceptance. \n\n\n\nResponsible teachers: Marcin Kierczak\, Sebastian DiLorenzo\, Roy Francis \n\n\n\nContact information: raukr@nbis.se \n\n\n\n\n\nRegister here\n\n\n\n\n\nCourse website
URL:https://www.scilifelab.se/event/raukr-2025-summer-school-r-beyond-the-basics/
LOCATION:B-huset\, Campus Gotland\, Cramérgatan 3\, Visby\, Sweden
CATEGORIES:Course
ATTACH;FMTTYPE=image/jpeg:https://www.scilifelab.se/wp-content/uploads/2025/01/RaukR.jpg
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
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BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20250915T080000
DTEND;TZID=Europe/Stockholm:20250919T170000
DTSTAMP:20260406T200735
CREATED:20250109T105219Z
LAST-MODIFIED:20250109T144332Z
UID:10001448-1757923200-1758301200@www.scilifelab.se
SUMMARY:Population Genomics in Practice
DESCRIPTION:The “Population Genomics in Practice” course is open for PhD students\, postdocs\, researchers\, and other employees in Swedish universities\, who need hands-on and practical skills to analyze population genomics data. We also welcome applications from outside of Sweden and from the non-academic sector\, for more info contact us! \n\n\n\nImportant dates and information\n\n\n\nApplication opens: 2025-01-13 \n\n\n\nApplication closes: 2025-05-15 \n\n\n\nConfirmation to accepted students: 2025-06-15 \n\n\n\nCourse Leader and teachers: Per Unneberg (CL)\, André E.R. Soares (CL)\, Nikolay Oskolkov\, Jason Hill \n\n\n\nIn case you miss information on any of the above dates\, please contact: edu.population-genomics-in-practice@nbis.se \n\n\n\nCourse fee\n\n\n\nA course fee* of 3000 SEK for academic participants and 15000 SEK for non-academic participants will be invoiced to accepted participants. The fee includes lunches\, coffee and snacks. \n\n\n\n*Please note that NBIS cannot invoice individuals \n\n\n\nRegister here\n\n\n\nCourse content\n\n\n\nThis workshop aims to provide an introduction to commonly used methods in population genomics. As the focus of the course is on hands-on work\, the topics have been designed to cover the fundamental analyses that are common in many population genomics studies. The course consists of lectures and exercises\, with a focus on the practical aspects of analyses. Whereas lectures introduce some background theory\, their primary aim is to set the stage for accompanying exercises. \n\n\n\nTopics covered will include: \n\n\n\n\nFoundations of population genetics\n\n\n\nIntroduction to simulation and the coalescent\n\n\n\nBasics of variant calling\n\n\n\nVariant filtering and sequence masks\n\n\n\nCharacterization and interpretation of DNA sequence variation\n\n\n\nCalculation and interpretation of summary statistics from variation data\n\n\n\nInvestigating population structure with admixture modeling and principal component analyses\n\n\n\nDemographic modeling using sequentially Markovian coalescent models and linkage disequilibrium\n\n\n\nSelection scans\n\n\n\n\nLearning Outcomes\n\n\n\nUpon completion of this course\, you will be able to: \n\n\n\n\nDescribe the different forces of evolution and how they influence genetic variation\n\n\n\nUnderstand and interpret genealogical trees and how they relate to genetic variation data\n\n\n\nDescribe the basics of the coalescent\,\n\n\n\nPerform simple coalescent simulations with msprime\n\n\n\nRun simple SLiM forward simulation models\n\n\n\nDescribe and run the steps of a variant calling pipeline\, including quality control of raw reads\, read mapping\, and variant calling\n\n\n\nKnow how and when to filter raw variant calls using manual coverage filters\n\n\n\nDescribe and calculate nucleotide diversity from variation data\n\n\n\nAnalyze population structure with admixture modeling and dimensionality reduction methods\n\n\n\nPerform demographic modeling with sequential Markovian coalescent models\n\n\n\nDescribe methods that identify regions undergoing adaptation and selection\n\n\n\nRun selection scans\, score identified regions\, and interpret findings in the context of genome annotations\n\n\n\n\nThe latest information about the course can be found on \n\n\n\nhttps://uppsala.instructure.com/courses/105981 \n\n\n\nEntry requirements\n\n\n\nThe following is a list of skills required to be able to follow the course and complete the exercises: \n\n\n\n\nBasic knowledge of R or Python\n\n\n\nBasic knowledge of variant calling\, or the equivalent of the NBIS course “Introduction to Bioinformatics using NGS data”\n\n\n\nBasic knowledge of population genetics\n\n\n\nBasic understanding of frequentist statistics\n\n\n\nA computer\n\n\n\n\nDesirable\, but not essential\, skills increasing the output of the course\, include: \n\n\n\n\nExperience with analysis of NGS and other –omics data\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 selection criteria\, including (but not limited to) correct entry requirements\, motivation to attend the course\, as well as gender and geographical balance.
URL:https://www.scilifelab.se/event/population-genomics-in-practice-3/
LOCATION:BMC Trippelrummet\, Husargatan 3\, entrance C11\, Uppsala\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
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