Package: MiClip
Type: Package
Title: A Model-based Approach to Identify Binding Sites in CLIP-Seq
        Data
Version: 1.3
Date: 2014-11-26
Author: Tao Wang
Maintainer: Tao Wang <tao.wang@utsouthwestern.edu>
Depends: R (>= 2.15.0), moments, VGAM
Description: 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. 
License: GPL-2
SystemRequirements: Perl
Packaged: 2014-11-26 19:58:31 UTC; twang6
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-11-27 01:50:16
