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VERSION:2.0
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DTSTAMP:20260715T221817Z
UID:807df088-71a9-4d60-a7b1-f9fe32b91301
DTSTART:20181112T090000Z
DTEND:20181117T000000Z
DESCRIPTION: Course leader: Manfred Grabherr\, manfred.grabherr@scilifelab.
 se and Jeanette Tångrot (jeanette.tangrot@nbis.se) and Nina Norgren (nina
 .norgren@scilifelab.se) Location: room NA340\, Naturvetarhuset\, Umeå uni
 versitet Course content The course will provide an entry-level introductio
 n to a wide range of analytical techniques for massively parallel sequenci
 ng\, including basic Linux commands. We will pair lectures on the theory o
 f analysis algorithms with practical computational exercises demonstrating
  the use of common tools for analyzing data from each of several common se
 quencing study designs. Apply here: https://fm.webforum.com/scilifelab/for
 m.asp?sid=583883780 Topics covered will include: Basic Linux usage NGS rea
 d-to-reference alignment (genomic and RNA-Seq) Variant calling in populati
 ons De novo assembly of RNA-sequence data Reference-guided RNA-Seq express
 ion analysis Analysis techniques covered will focus mostly on data from th
 e Illumina platform\, but we will discuss other sequencing platforms and t
 he advantages and challenges to using their data. Entry requirements A bac
 kground in genetics\, cell biology\, biomedicine\, biochemistry\, bioinfor
 matics or comparable is desirable To get the maximum benefit from the cour
 se we would like you to Have relevant previous experience in sequencing or
  analysis Have a research project where you are currently using next gener
 ation sequencing or are planning to use next generation sequencing Be able
  to bring your own laptop for the practical computational exercises It is 
 beneficial if you are directly performing analyses or if you have a suppor
 t role and will be able to participate in a wide range of projects and tra
 nsfer your knowledge to others Selection criteria include correct entry re
 quirements\, motivation to attend the course as well as gender and geograp
 hical balance. For more information and application form\, please visit ht
 tps://www.scilifelab.se/events/introduction-to-bioinformatics-using-ngs-da
 ta-umea/
SUMMARY:Introduction to Bioinformatics using NGS data
URL;VALUE=URI:https://www.google.com/calendar/event?eid=NWloa28wc3Y1MDFtMnV
 qN21kcDF0ZDRmNXAgYmlscy5lbGl4aXJAbQ
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