BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//SciLifeLab - ECPv6.15.18//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:SciLifeLab
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:20230326T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20231029T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20240331T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20241027T010000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
TZNAME:CEST
DTSTART:20250330T010000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
DTSTART:20251026T010000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=Europe/Stockholm:20240311T080000
DTEND;TZID=Europe/Stockholm:20240315T170000
DTSTAMP:20260404T021740
CREATED:20231220T151424Z
LAST-MODIFIED:20240213T125934Z
UID:161115-1710144000-1710522000@www.scilifelab.se
SUMMARY:RNA-seq data analysis
DESCRIPTION:This workshop will introduce the best practice bioinformatics methods for processing and analyses of RNA-seq data via a series of  lectures and computer practicals. \n\n\n\nTopics covered will include: \n\n\n\n\nRNAseq quality control analysis\n\n\n\nMapping of short reads\n\n\n\nQuantification of gene expression\n\n\n\nExploratory data analysis\n\n\n\nDifferential gene expression\n\n\n\nGene set enrichment analysis\n\n\n\n\nMore details about the course can be found at the previous year webpage: RNAseq course 2023 \n\n\n\nThe course will follow similar structure and topics. \n\n\n\nNOTE: in March 2024\, the course will be a 5-day-course on-site in Uppsala. \n\n\n\nRegister here\n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and complete the computer exercises: \n\n\n\n\nBasic knowledge in Linux and R\n\n\n\nYour own laptop with the following specs:At least 6 GB of RAM.Operating system Win10\, OS X or Linux\n\nAt least 30 GB of free storage\n\n\n\n\n\n\nDesirable: \n\n\n\n\nExperience working with NGS data analysis or completed the NBIS workshop “Introduction to Bioinformatics using NGS data”\n\n\n\nExperience working in R or completed the NBIS course “R Programming Foundations for Life Scientists”\n\n\n\n\nDue to our best practice to have a high teacher to student ratio we have set the number of participants to a maximum of 20 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. \n\n\n\nCourse fee\n\n\n\nA course fee* of 3000 SEK for non-profit organisations 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\nImportant dates:\n\n\n\n\nApplication open: December 19\, 2023\n\n\n\nApplication deadline: February 19\, 2024\n\n\n\n\nResponsible teacher/s:Johan Reimegård\, Julie Lorent\, Nima Rafati \n\n\n\nContact information for questions regarding the courseedu.rnaseq@nbis.se
URL:https://www.scilifelab.se/event/rna-seq-data-analysis-2/
LOCATION:Uppsala University\, Uppsala\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
END:VEVENT
END:VCALENDAR