Closed fburdet closed 1 year ago
Hello,
I have an ONT experiment with 2 conditions, 4 replicates per conditions.
I used reads from pychopper, alidnted, corrected, merged (I used the 8 replicates to generate a bed file), collapsed into an isoforms bed, quantified.
Then I used diffSplice using the collapsed bed and the counts.tsv table, and the --test option.
Everything ran without an error.
What is weird is in the 4 drimseq files. The 4 replicates always have the same value, eg
==> drimseq_ir_DKO_v_WT.tsv <== feature_id gene_id DKO1_DKO_batch1 DKO2_DKO_batch1 DKO3_DKO_batch1 DKO4_DKO_batch1 WT1_WT_batch1 WT2_WT_batch1 WT3_WT_batch1 WT4_WT_batch1 lr adj_pvalue exclusion_chr14:47006354-47007289+ chr14:47006354-47007289 0.953 0.953 0.953 0.953 0.472 0.4720.472 0.472 506.01 1.02e-107 inclusion_chr14:47006354-47007289+ chr14:47006354-47007289 0.047 0.047 0.047 0.047 0.528 0.5280.528 0.528 506.01 1.02e-107 exclusion_chr14:47002497-47004632+ chr14:47002497-47004632 0.961 0.961 0.961 0.961 0.537 0.5370.537 0.537 451.98 2.93e-96 inclusion_chr14:47002497-47004632+ chr14:47002497-47004632 0.039 0.039 0.039 0.039 0.463 0.4630
That looks suspiciously weird... is that normal?
Thanks in advance!
It is normal behavior, see #234
Hello,
I have an ONT experiment with 2 conditions, 4 replicates per conditions.
I used reads from pychopper, alidnted, corrected, merged (I used the 8 replicates to generate a bed file), collapsed into an isoforms bed, quantified.
Then I used diffSplice using the collapsed bed and the counts.tsv table, and the --test option.
Everything ran without an error.
What is weird is in the 4 drimseq files. The 4 replicates always have the same value, eg
==> drimseq_ir_DKO_v_WT.tsv <== feature_id gene_id DKO1_DKO_batch1 DKO2_DKO_batch1 DKO3_DKO_batch1 DKO4_DKO_batch1 WT1_WT_batch1 WT2_WT_batch1 WT3_WT_batch1 WT4_WT_batch1 lr adj_pvalue exclusion_chr14:47006354-47007289+ chr14:47006354-47007289 0.953 0.953 0.953 0.953 0.472 0.4720.472 0.472 506.01 1.02e-107 inclusion_chr14:47006354-47007289+ chr14:47006354-47007289 0.047 0.047 0.047 0.047 0.528 0.5280.528 0.528 506.01 1.02e-107 exclusion_chr14:47002497-47004632+ chr14:47002497-47004632 0.961 0.961 0.961 0.961 0.537 0.5370.537 0.537 451.98 2.93e-96 inclusion_chr14:47002497-47004632+ chr14:47002497-47004632 0.039 0.039 0.039 0.039 0.463 0.4630
That looks suspiciously weird... is that normal?
Thanks in advance!