Entering edit mode
4.1 years ago
bartosz.kozak
•
0
Hi there!
I have small RNA data-set which I want to analyzed. I don't have much experience in this field, so I try to find information about those type of analysis. Many people suggest usage of miR-PREFeR for predicting miRNA in plants. My question is if workflow I'm planing to usage in analysis is correct or should I change some steps.
- Prepare fastq data acording to miR-PREFeR tutorial
- Run miR-PREFeR with default parameters using files form step 1
- Use RNA databases (miRBase, Rfam, RNACentral) and BLAST to find know miRNA and false positives (siRNA, most of 24 nt predictions) in miR-PREFeR results.
- Discard false positives (siRNA)
- Use known and novel miRNA predicted by miR-PREFeR in downstream analysis
Is there other way to filter results from miR-PREFeR for discard false positives?
Thanks, Bartek