Open ulbivin opened 5 months ago
When I go to the flair/test
directory and run
flair quantify -r test_input/reads_manifest.txt -i test_input/test.collapse.isoforms.fa -o test_out/quant
and then look at the first ten lines of test_out/quant.counts.tsv:
ids A1_A_b0 A2_A_b0 A3_A_b0 B1_B_b0 B2_B_b0 B3_B_b0
ENST00000225792.10_ENSG00000108654.15 22.0 12.0 10.0 11.0 15.0 13.0
ENST00000256078.9_ENSG00000133703.12 7.0 6.0 7.0 15.0 11.0 7.0
ENST00000311936.8_ENSG00000133703.12 10.0 9.0 7.0 19.0 18.0 7.0
ENST00000348547.6_ENSG00000125991.19 38.0 36.0 46.0 66.0 47.0 46.0
ENST00000451605.1_ENSG00000125991.19 13.0 29.0 16.0 29.0 28.0 16.0
ENST00000557334.5_ENSG00000133703.12 3.0 0.0 4.0 8.0 10.0 4.0
HISEQ:1287:HKCG7BCX3:1:1101:14093:55880_ENSG00000133703.12 0.0 0.0 1.0 0.0 3.0 1.0
The last line has single read counts for two of the samples.
What is your command precisely, and which version of FLAIR are you running?
Hi, I have a set of samples for which I am running FLAIR. Some samples have a unique isoform which make up a substantial fraction of the gene transcript from that specific sample, but only a small fraction of the combined isoforms from all samples. Hence it is filtered out when running FLAIR quantify.
Is there a way to set the filter for FLAIR quantify to include less abundant isoforms in the count.tsv file?