PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis |
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| Authors: | Beibei Chen Jonghyun Yun Min Soo Kim Joshua T Mendell Yang Xie |
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| Affiliation: | 1.Quantitative Biomedical Research Center, University of Texas Southwestern Medical Center, Suite NC8.512 6000 Harry Hines Blvd, Dallas, TX 75390, USA;2.Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Suite Nc8.512 6000 Harry Hines Blvd, Dallas, TX 75390, USA;3.Department of Molecular Biology, University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, USA |
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| Abstract: | CLIP-seq is widely used to study genome-wide interactions between RNA-binding proteins and RNAs. However, there are few tools available to analyze CLIP-seq data, thus creating a bottleneck to the implementation of this methodology. Here, we present PIPE-CLIP, a Galaxy framework-based comprehensive online pipeline for reliable analysis of data generated by three types of CLIP-seq protocol: HITS-CLIP, PAR-CLIP and iCLIP. PIPE-CLIP provides both data processing and statistical analysis to determine candidate cross-linking regions, which are comparable to those regions identified from the original studies or using existing computational tools. PIPE-CLIP is available at http://pipeclip.qbrc.org/. |
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