Unlike DNA, RNA abundances can vary over several orders of magnitude. Thus identification of RNA-protein binding sites from high throughput sequencing data presents unique challenges. While peak identification in CHIP-Seq data has been extensively explored, there are few bioinformatics tools tailored to peak calling on the analogous datasets for RNA-binding proteins. Here we describe ASPeak, an implementation of an algorithm that we previously applied to detect peaks in Exon Junction Complex (EJC) RNA immunoprecipitation in tandem (RIPiT) experiments. Our peak detection algorithm yields stringent and robust target sets enabling sensitive motif finding and downstream functional analyses.

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow AS-peak

AS-peak Web Site

Other Useful Business Software
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime Icon
Custom VMs From 1 to 96 vCPUs With 99.95% Uptime

General-purpose, compute-optimized, or GPU/TPU-accelerated. Built to your exact specs.

Live migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of AS-peak!

Additional Project Details

Registered

2013-02-21