QC

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Aims of the QC analyses

  • Quantify technical variation and its sources; most importantly the magnitude and sources of lab effects in RNAseq data
  • Detect technical outlier samples in the data to be able to exclude bad data
  • Define technical covariates to correct the quantifications for to reduce technical variation and thus increase power to detect biological variation

QC analysis

  • methods, description, results...

QC sample info

  • sample sheets and info of samples to exclude or flag in analysis
  • all essential info for analysts of which samples to use / not use / watch out for should be here
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