This is an RNASeq based doubt and if anyone has experieneced similar problem, kindly suggest the solution.
I used Tophat and cufflinks pipeline (as explained in the paper Trapnell et al., 2012) to analyse RANSeq reads from rice samples (control and two treatments). I used 2 replicates or each sample.
Finally, when I check the Cuffdiff result (specifically, the gene_exp.diff file), I get redundant locus_id with different FPKM value. In this forum, i saw the solution for that. Importaltly, in many cases, multiple locus_ids are listed in place of a single id.
For clarity, I am giving a few lines of gne_exp.diff file.
Thanks
gene_id gene locus sample_1 sample_2 status value_1 value_2 log2(fold_change) test_stat p_value q_value significant
XLOC_000001 LOC_Os01g01010,LOC_Os01g01019,LOC_Os01g01030,LOC_Os01g01040 Chr1:1894-20323 ctrl e19 OK 16.532 15.9978 -0.0473893 -0.218699 0.75605 0.901896 no
XLOC_000002 LOC_Os01g01050,LOC_Os01g01060 Chr1:21825-28651 ctrl e19 OK 20.4096 21.7579 0.0922973 0.419462 0.54785 0.777761 no
I used Tophat and cufflinks pipeline (as explained in the paper Trapnell et al., 2012) to analyse RANSeq reads from rice samples (control and two treatments). I used 2 replicates or each sample.
Finally, when I check the Cuffdiff result (specifically, the gene_exp.diff file), I get redundant locus_id with different FPKM value. In this forum, i saw the solution for that. Importaltly, in many cases, multiple locus_ids are listed in place of a single id.
For clarity, I am giving a few lines of gne_exp.diff file.
Thanks
gene_id gene locus sample_1 sample_2 status value_1 value_2 log2(fold_change) test_stat p_value q_value significant
XLOC_000001 LOC_Os01g01010,LOC_Os01g01019,LOC_Os01g01030,LOC_Os01g01040 Chr1:1894-20323 ctrl e19 OK 16.532 15.9978 -0.0473893 -0.218699 0.75605 0.901896 no
XLOC_000002 LOC_Os01g01050,LOC_Os01g01060 Chr1:21825-28651 ctrl e19 OK 20.4096 21.7579 0.0922973 0.419462 0.54785 0.777761 no
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