Title |
PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis
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Published in |
Genome Biology, January 2014
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DOI | 10.1186/gb-2014-15-1-r18 |
Pubmed ID | |
Authors |
Beibei Chen, Jonghyun Yun, Min Soo Kim, Joshua T Mendell, Yang Xie |
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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Mexico | 1 | 6% |
Germany | 1 | 6% |
Australia | 1 | 6% |
United Kingdom | 1 | 6% |
India | 1 | 6% |
France | 1 | 6% |
Unknown | 4 | 24% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 9 | 53% |
Members of the public | 7 | 41% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 3 | 2% |
Germany | 2 | 1% |
Sweden | 1 | <1% |
Austria | 1 | <1% |
Japan | 1 | <1% |
Denmark | 1 | <1% |
Unknown | 163 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 64 | 37% |
Researcher | 45 | 26% |
Student > Master | 17 | 10% |
Professor | 6 | 3% |
Student > Bachelor | 6 | 3% |
Other | 20 | 12% |
Unknown | 14 | 8% |
Readers by discipline | Count | As % |
---|---|---|
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Biochemistry, Genetics and Molecular Biology | 39 | 23% |
Computer Science | 12 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 1% |
Mathematics | 2 | 1% |
Other | 8 | 5% |
Unknown | 15 | 9% |