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

nel_h2
Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use. Icon
Simply solve complex auth. Easy for devs to set up. Easy for non-devs to use.

Transform user access with Frontegg CIAM: login box, SSO, MFA, multi-tenancy, and 99.99% uptime.

Custom auth drains 25% of dev time and risks 62% more breaches, stalling enterprise deals. Frontegg platform delivers a simple login box, seamless authentication (SSO, MFA, passwordless), robust multi-tenancy, and a customizable Admin Portal. Integrate fast with the React SDK, meet compliance needs, and focus on innovation.
Start for 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