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PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis
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 o...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4054095/ https://www.ncbi.nlm.nih.gov/pubmed/24451213 http://dx.doi.org/10.1186/gb-2014-15-1-r18 |
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author | Chen, Beibei Yun, Jonghyun Kim, Min Soo Mendell, Joshua T Xie, Yang |
author_facet | Chen, Beibei Yun, Jonghyun Kim, Min Soo Mendell, Joshua T Xie, Yang |
author_sort | Chen, Beibei |
collection | PubMed |
description | 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/. |
format | Online Article Text |
id | pubmed-4054095 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40540952014-06-12 PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis Chen, Beibei Yun, Jonghyun Kim, Min Soo Mendell, Joshua T Xie, Yang Genome Biol Software 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/. BioMed Central 2014 2014-01-22 /pmc/articles/PMC4054095/ /pubmed/24451213 http://dx.doi.org/10.1186/gb-2014-15-1-r18 Text en Copyright © 2014 Chen et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Chen, Beibei Yun, Jonghyun Kim, Min Soo Mendell, Joshua T Xie, Yang PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis |
title | PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis |
title_full | PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis |
title_fullStr | PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis |
title_full_unstemmed | PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis |
title_short | PIPE-CLIP: a comprehensive online tool for CLIP-seq data analysis |
title_sort | pipe-clip: a comprehensive online tool for clip-seq data analysis |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4054095/ https://www.ncbi.nlm.nih.gov/pubmed/24451213 http://dx.doi.org/10.1186/gb-2014-15-1-r18 |
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