rnaoutliers
Roadmap: x counting + normalization and statistics
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only takes the RNA that has at least 5 mean-occurences (mean of the occurences) across all 3 samples within a given condition
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do the t-test comparisons between N2C vs N2A N2B N2D N2AN DC vs DA DB DD DAD
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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)
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show the most significant RNAs (with lowest p-values) across all conditions
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do the alignment for visualisations
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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