Thanks a lot for your answer! In your opinion, could this affect the downstream analyses (e.g. DE analysis)?
I have several samples coming from an RNAseq experiment generated with Illumina sequencing (Pair-End sequencing of 151bp).
I used Salmon for indexing the de novo transcriptome and then I quantified in mapped-based mode against the created index.
However, checking the output from MultiQC I noted a very weird thing. The fragment length distribution suddenly drops around 145-150bp and then goes up again...
Is there someone that could have an explanation for this behaviour?
Any putative explanation is welcome!
1 answer
Thats weird... could it have something to do with the way Salmon deals with dovetail reads ? For instance, these reads could be excluded when the insert about the size of the read length (150), but not when the insert is shorter (<145). I wonder what would happen if you use option --allowDovetail with Salmon in mapping mode. My guess is that it would solve the issue.
Can you tell us if the option mentioned above mitigates your observation? Have you tried it? How many cycles were sequenced for your data (300 each way?)
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