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DTSTAMP:20260615T003449Z
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DTSTART:20180514T090000Z
DTEND:20180517T000000Z
DESCRIPTION:Course information: https://www.scilifelab.se/events/rnaseqvt1
 8/ Course leader Johan Reimegård (johan.reimegard@scilifelab.se) #trainin
 g Course content This course will cover both theoretical and hands-on expo
 sure to current topics in RNA-seq analysis. Lectures from experts in RNA-s
 eq and biostatistics will cover a range of cutting-edge issues in RNA qual
 ity control\, transcript assembly in model and non-model organisms\, diffe
 rential expression analysis and downstream analysis using other types of d
 ata. An extensive case study in the computer lab will familiarize you with
  concepts of mapping\, quality control of your RNA-seq data\, de novo asse
 mbly\, assembly using a reference\, differential expression analysis and d
 ownstream enrichment analysis. Topics covered will include: Gene and isofo
 rm detection using short RNA-seq reads Gene and isoform detection using lo
 ng RNA-seq reads Gene and isoform detection combining RNA-seq data with ot
 her data sources Quality assessment of RNA-seq data Differential expressio
 n analysis using RNA-seq data on multiple cells Downstream analysis after 
 identifying differentially expressed genes. Entry requirements Basic knowl
 edge in linux is a requirement! We will not teach Linux at the course and 
 you will have considerable trouble to follow the practical sessions if you
  are not reasonably used to work in a linux environment. Be able to bring 
 your own laptop for the practical computational exercises. If you don’t 
 have a laptop to bring please contact education@scilifelab.uu.se before 
 you register. Some programming/scripting experience is desirable\, but not
  required. Experience working on the SNIC center Uppmax is desirable\, but
  not required. Participants of the SciLifeLab Course “Introduction to Bi
 oinformatics using NGS data” (or alike) are most welcome to apply\, but 
 this course is not required. Some overlap with this course is expected\, b
 ut the workshops will be considerably more detailed on the covered topics.
  Due to space constraints for the computer exercises\, there are a maximum
  number of allowed participants. If we receive more applications\, partici
 pants will be selected based on several criteria. Selection criteria inclu
 de correct entry requirements\, motivation to attend the course as well as
  gender and geographical balance. Date and time 2017-11-07 - 2017-11-09 Lo
 cation Husargatan 3\, Uppsala Important dates Application open: June 19 Ap
 plication deadline: September 28 Confirmation to accepted students: Octobe
 r 9 Responsible teachers: Johan Reimegård If you don’t receive informat
 ion according to the dates above\, contact education@scilifelab.uu.se Cou
 rse fee A course fee of 1300 SEK will be invoiced to accepted participants
  (includes the study material\, coffee\, lunches and course dinner). NOTE 
 – Uppsala University cannot invoice individuals.    
SUMMARY:RNA-seq
URL;VALUE=URI:https://www.google.com/calendar/event?eid=NWE3azlpdGpjOHU2cWd
 maXJkZTdhYzB2dmMgYmlscy5lbGl4aXJAbQ
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