just an fyi, in case folks want/expect equal numbers of rows in the .csv outputs from the .r scripts.
It seems that the edger.r script is filtering the output to the top 100,000 DEG whereas the deseq1.r and deseq2.r do not. That is, the deseq1&2.r report every transcript or gene in the kallisto idx file. I tried changing the edge.r script at:
Extracts the most differentially expressed genes.
etp <- topTags(etx, n=100000)
to n=300000
as my idx, from the gencode v33 transcripts.fa that I'm using for the kallisto index has around 230k transcripts. this seems to have given me equal row numbers in each output.
just an fyi, in case folks want/expect equal numbers of rows in the .csv outputs from the .r scripts.
It seems that the edger.r script is filtering the output to the top 100,000 DEG whereas the deseq1.r and deseq2.r do not. That is, the deseq1&2.r report every transcript or gene in the kallisto idx file. I tried changing the edge.r script at:
Extracts the most differentially expressed genes.
etp <- topTags(etx, n=100000)
to n=300000
as my idx, from the gencode v33 transcripts.fa that I'm using for the kallisto index has around 230k transcripts. this seems to have given me equal row numbers in each output.