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\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 genome with use of a transcript database model.\r\nQuality control  of the mapping results.\r\nAdjusting the mapping data to compensate for artefacts like duplicates.\r\nCalculate transcript counts usable for differential expression and merging of count tables \n\r\nComputing differential expression using  DESeq2.\n\r\n\n • fastQC • trimmomatic• Groomer • STAR• samtools• Picard • RSeQC• HTSeq• R - RStudio - Bioconductor - various packages \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'