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rnaoutliers

rnaoutliers

Roadmap: x counting + normalization and statistics

  • only takes the RNA that has at least 5 mean-occurences (mean of the occurences) across all 3 samples within a given condition

  • do the t-test comparisons between N2C vs N2A N2B N2D N2AN DC vs DA DB DD DAD

  • t-test should compare 3 sample from each condition against 3 samples from other condition (so essentially it will compare 3 numbers against 3 other numbers)

  • show the most significant RNAs (with lowest p-values) across all conditions

  • do the alignment for visualisations

  • sequence logos for edited miRNA (see seqLogo from Bioconductor)

Between 2013-03-13 and 2013-04-01 - package this code, make simple documentation, help with writing a one page report

After 2013-04-01 - look into Look into bwa aligner (burrows-wheeler aligner)

  • send number on the UCL card + expiration

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