[PDF][PDF] Differential expression analysis for sequencing count data
EMBL-EBI Powerpoint Presentation Page 1 Differential expression analysis for sequencing
count data Simon Anders Page 2 Two applications of RNA-Seq • Discovery • find new
transcripts • find transcript boundaries • find splice junctions • Comparison Given samples from
different experimental conditions, find effects of the treatment on • gene expression strengths •
isoform abundance ratios, splice patterns, transcript boundaries Page 3 Alignment Should one
align to the genome or the transcriptome? to transcriptome • easier, because no gapped …
count data Simon Anders Page 2 Two applications of RNA-Seq • Discovery • find new
transcripts • find transcript boundaries • find splice junctions • Comparison Given samples from
different experimental conditions, find effects of the treatment on • gene expression strengths •
isoform abundance ratios, splice patterns, transcript boundaries Page 3 Alignment Should one
align to the genome or the transcriptome? to transcriptome • easier, because no gapped …
Gene GliNS1 G144 G166 G179 CB541 CB660 l3CDNA73 4 0 6 l 0 5 A2BPl l9 l8 20 7 l 8 A2M 2724 2209 l3 49 l93 548 A4GALT 0 0 48 0 0 0 AAAS 57 29 224 49 202 92 AACS l904 l294 5073 5365 3737 35ll AADACLl 3 l3 239 683 l58 40
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