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Feb 16, 2018 at 8:30 comment added beginner Reads alignment reads aligned (left/right) = 86,704,161 / 85,485,519 read pairs aligned = 83,397,732 total alignments = 244,302,519 secondary alignments = 72,112,839 non-unique alignments = 22,973,098 aligned to genes = 249 ambiguous alignments = 25 no feature assigned = 9,759 not aligned = 5,887,822; Reads genomic origin exonic = 249 (2.49%) intronic = 693 (6.92%) intergenic = 9,066 (90.59%) overlapping exon = 54 (0.54%) Transcript coverage profile 5' bias = 0.39 3' bias = 10.04 5'-3' bias = �
Feb 16, 2018 at 8:29 comment added beginner Thanks for the answers. I have to tell you that for "alignment" with HISAT2 I didn't use any gtf file. I used only standard genome index from HISAT2 website. I used gencode new version (gencode.v27 with both protein and non-coding genes) gtf for Stringtie tool. In the above qualimap result I didn't mention the paired-end option "-pe". So, I have rerun the qualimap again with "-pe" and also "-p strand-specific-reverse" which is RF in HISAT2. The following are the results.
Feb 15, 2018 at 23:20 comment added Devon Ryan @raju I've updated my reply.
Feb 15, 2018 at 23:19 history edited Devon Ryan CC BY-SA 3.0
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Feb 15, 2018 at 21:59 comment added beginner And what are the causes reads genomic origin - Intergenic shows higher number? sequencing error, mapping error, unannotated genes? I see in some of the post that for human genome, it's very likely cz of unannotated gens. The annotation of a genome could never be finished, as it could never be sequenced completely. Is this right?
Feb 15, 2018 at 21:01 comment added beginner thankyu !! what are those nUmber of secondary and non-unique alignments, ambiguous, and no feature aligned?
Feb 15, 2018 at 20:34 history answered Devon Ryan CC BY-SA 3.0