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strandness of paired-end data
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17 months ago

I have used infer_experiment.py from RSeQC and got this output:

This is PairEnd Data
Fraction of reads failed to determine: 0.0659
Fraction of reads explained by "1++,1--,2+-,2-+": 0.0055
Fraction of reads explained by "1+-,1-+,2++,2--": 0.9285

Is it shows that my RNA-Seq data is strand specific and strandness of read1 is opposite with that of gene model, while strandness of read2 is consistent to the strand of reference gene model?

Is that means that its reverse stranded and I have to use s -2 option or s -1 option in featureCounts?

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This is not a "Forum" this is a Question type post. I have corrected it for you this time.

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