Closed elayton13 closed 1 year ago
Since it is in the PrintExpressionSamples routine I can only guess that a particular miRNA in one of your samples is not having any reads mapped to it. Maybe you can see if there are missing values in the output count matrix.
Thanks for the quick reply. There are lots of miRNAs in the reference fasta files supplied to miRDeep2.pl that don't have any counts in any of my samples. It does seem that the number of lines of the message are proportional to that. From previous analysis I only detect approx 150 mouse miRNAs in my samples out of the 2000 odd annotated on the mouse genome. In that case shall I just ignore the message?
I do also get some disconcerting mirdeep scores for false positives and true positives (being very high and very low, with respect to the number of novel miRs predicted at each score). Do you expect this also to be due to the fact that my samples are a bit atypical in that they have low numbers of miRNAs detected? I plan to proceed by filtering the novel predictions based on number of reads assigned to mature and star arms, and a significant randfold value. I'll attach a picture of my scores
Given the survey table the data doesn't seem to look pretty good for miRNA prediction. However, if you check the pdfs and how the reads are aligned to it you maybe get an idea what is going on.
The error messages do not seem to be a problem and do not affect the prediction routine. It is something in the quantifier which runs independently.
Since there is no reaction here this gets closed
Hello
I am using fastQ files that have already had adaptors removed and have been size and quality filtered using cutadapt. The parameters I run are:
mapper.pl/samples_mirdeep.txt -d -e -h -m \
-p genome.fa.ind -s reads_collapsed.fa -t reads_collapsed_vs_genome.arf -v
miRDeep2.pl/reads_collapsed.fa /genome.fa /reads_collapsed_vs_genome.arf \