MiClip (1.3)

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A Model-based Approach to Identify Binding Sites in CLIP-Seq Data.

http://cran.r-project.org/web/packages/MiClip

Cross-linking immunoprecipitation coupled with high-throughput sequencing (CLIP-Seq) has made it possible to identify targeting sites of RNA-binding proteins in various cell culture systems and tissue types on a genome-wide scale. Here we present MiClip,a novel model-based approach to identify high-confidence protein-RNA binding sites in CLIP-Seq datasets. This approach assigns confidence value to each binding site on a probabilistic basis. The MiClip package can be flexibly applied to analyze both HITS-CLIP data and PAR-CLIP data.

Maintainer: Tao Wang
Author(s): Tao Wang

License: GPL-2

Uses: moments, VGAM

Released almost 5 years ago.


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