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DTSTART;TZID=Europe/Stockholm:20230313T080000
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DTSTAMP:20260518T133446
CREATED:20221212T141504Z
LAST-MODIFIED:20221212T142110Z
UID:146287-1678694400-1678986000@www.scilifelab.se
SUMMARY:RNA-seq data analysis 
DESCRIPTION:This workshop will introduce the best practice bioinformatics methods for processing and analyses of RNA-seq data via a series of  lectures and computer practicals. \n\n\n\nImportant dates\n\n\n\nApplication open: December 15\, 2022  \n\n\n\nApplication deadline: February 12\, 2023 \n\n\n\nResponsible teacher/s\n\n\n\nJohan Reimegård\, Julie Lorent\, Nima Rafati \n\n\n\nContact information for questions regarding the course\n\n\n\nedu.rnaseq@nbis.se \n\n\n\nCourse fee\n\n\n\nA course fee* of 1800 SEK will be invoiced to accepted participants. This includes lunches\, coffee\, snacks\, and one course dinner. *Please note that NBIS cannot invoice individuals \n\n\n\nCourse content\n\n\n\nTopics covered will include: \n\n\n\n\nRNAseq quality control analysis \n\n\n\nMapping of short reads \n\n\n\nQuantification of gene expression \n\n\n\nExploratory data analysis \n\n\n\nDifferential gene expression \n\n\n\nGene set enrichment analysis\n\n\n\n\n\n\n\n\nMore details about the course can be found at: \n\n\n\nThe previous year website\n\n\n\n\n\n\n\nThe course will follow similar structure and topics. NOTE: In March 2023\, the course will be a 4-day-course on-site in Uppsala. \n\n\n\nEntry requirements\n\n\n\nRequired for being able to follow the course and complete the computer exercises: \n\n\n\n\nBasic knowledge in Linux and R \n\n\n\nYour own laptop with the following specs: \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nAt least 6 GB of RAM. \n\n\n\n\n\nOperating system Win10\, OS X or Linux \n\n\n\n\n\nAt least 30 GB of free storage\n\n\n\n\n\n\nDesirable: \n\n\n\n\nExperience working with NGS data analysis or completed the NBIS workshop “Introduction to Bioinformatics using NGS data” \n\n\n\nExperience working in R or completed the NBIS course “R Programming Foundations for Life Scientists”\n\n\n\n\nDue to our best practice to have a high teacher to student ratio we have set the number of participants to a maximum of 20 participants. If we receive more applications\, participants will be selected based on several criteria. Selection criteria include correct entry requirements\, motivation to attend the course as well as gender and geographical balance. \n\n\n\n\n\n\n\nApplication
URL:https://www.scilifelab.se/event/rna-seq-data-analysis/
LOCATION:Navet\, SciLifeLab Uppsala\, SciLifeLab Uppsala\, BMC C11\, Husargatan 3\, Uppsala\, 75237\, Sweden
CATEGORIES:Course
ORGANIZER;CN="NBIS - National Bioinformatics Infrastructure Sweden":MAILTO:education@nbis.se
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