From: mali s. <sha...@gm...> - 2012-02-16 08:51:29
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Dear Useq-users Is it possible to analyse RNA-IP data using Useq? I have IP and Input data from RNA that was fragmented to 100nt, and then treated with an antibody against a specific RNA methylation. I aligned reads to the genome (I don't care of junctions reads, and only 10% of the data couldn't be mapped to the genome), and I would like to find enriched regions in IP compared to Input. The idea is similar to ChIP-seq, but I'm wondering if there are special issues I should taking care of since the reads are coming from the transcriptome and not the genome. For example, in ChIP-seq finding tools like MACS and others, I should give as parameter the effective genome size. When I run MACS (sorry I haven't tried Useq with this data yet) with gsize=transcriptome size, I get ~2000 peaks, however, when I run it with gsize=genome I get ~22000 peaks. In a genome browser, those peaks that were missed with smaller gsize look real by looking them in a genome browser and comparing them with their Input. Hence I thought of finding a tool that can compare IP directly to Input without taking into account a random expectations calculated based on the genome size. Is it make sense? Is it possible to do it with Useq? Looking forward to your reply Thanks Mali |