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VERSION:2.0
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DTSTAMP:20260809T062727Z
UID:92370686-03d4-4f86-950e-7fa615a364ca
DTSTART:20190211T093000Z
DTEND:20190218T170000Z
DESCRIPTION:b'You will execute a complete analysis workflow in GenePattern\
 , Galaxy or command line and R to detect differential expression between 
 two conditions\n\\r\n\\r\n\n We\\'ll go through the different steps of the
  workflow:\\r\n\n \nQuality control of the sequence reads to detect biases
  or contaminating adapters.\\r\nMapping of the reads to the reference gen
 ome with use of a transcript database model.\\r\nQuality control  of the
  mapping results.\\r\nAdjusting the mapping data to compensate for artefa
 cts like duplicates.\\r\nCalculate transcript counts usable for differenti
 al expression and merging of count tables \n\\r\nComputing differential
  expression using  DESeq2.\n\\r\n\\r\n\n • fastQC • trimmomatic• G
 roomer • STAR• samtools• Picard • RSeQC• HTSeq• R - RStudio - 
 Bioconductor - various packages \n\\r\n\\r\n\n  \\r\nFamiliarity with \n
  \nRNA-seq assembly\\r\nRNA-seq analysis for isoform detection\\r\nRNA-seq
  analysis for detection of short RNA species\n\\r\n\n \n.Organised by the 
 VIB Bioinformatics Core​\n\\r\n\n'
LOCATION:Park Inn by Radisson Leuven
SUMMARY:RNA-Seq analysis for differential expression
URL;VALUE=URI:http://www.vib.be/en/training/research-training/courses/Pages
 /RNA-Seq-analysis-for-differential-expression.aspx
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