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A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data
ABSTRACT: ChIP-Seq (chromatin immunoprecipitation sequencing) has provided the advantage for finding motifs as ChIP-Seq experiments narrow down the motif finding to binding site locations. Recent motif finding tools facilitate the motif detection by providing user-friendly Web interface. In this wor...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022013/ https://www.ncbi.nlm.nih.gov/pubmed/24555784 http://dx.doi.org/10.1186/1745-6150-9-4 |
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author | Tran, Ngoc Tam L Huang, Chun-Hsi |
author_facet | Tran, Ngoc Tam L Huang, Chun-Hsi |
author_sort | Tran, Ngoc Tam L |
collection | PubMed |
description | ABSTRACT: ChIP-Seq (chromatin immunoprecipitation sequencing) has provided the advantage for finding motifs as ChIP-Seq experiments narrow down the motif finding to binding site locations. Recent motif finding tools facilitate the motif detection by providing user-friendly Web interface. In this work, we reviewed nine motif finding Web tools that are capable for detecting binding site motifs in ChIP-Seq data. We showed each motif finding Web tool has its own advantages for detecting motifs that other tools may not discover. We recommended the users to use multiple motif finding Web tools that implement different algorithms for obtaining significant motifs, overlapping resemble motifs, and non-overlapping motifs. Finally, we provided our suggestions for future development of motif finding Web tool that better assists researchers for finding motifs in ChIP-Seq data. REVIEWERS: This article was reviewed by Prof. Sandor Pongor, Dr. Yuriy Gusev, and Dr. Shyam Prabhakar (nominated by Prof. Limsoon Wong). |
format | Online Article Text |
id | pubmed-4022013 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-40220132014-05-16 A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data Tran, Ngoc Tam L Huang, Chun-Hsi Biol Direct Review ABSTRACT: ChIP-Seq (chromatin immunoprecipitation sequencing) has provided the advantage for finding motifs as ChIP-Seq experiments narrow down the motif finding to binding site locations. Recent motif finding tools facilitate the motif detection by providing user-friendly Web interface. In this work, we reviewed nine motif finding Web tools that are capable for detecting binding site motifs in ChIP-Seq data. We showed each motif finding Web tool has its own advantages for detecting motifs that other tools may not discover. We recommended the users to use multiple motif finding Web tools that implement different algorithms for obtaining significant motifs, overlapping resemble motifs, and non-overlapping motifs. Finally, we provided our suggestions for future development of motif finding Web tool that better assists researchers for finding motifs in ChIP-Seq data. REVIEWERS: This article was reviewed by Prof. Sandor Pongor, Dr. Yuriy Gusev, and Dr. Shyam Prabhakar (nominated by Prof. Limsoon Wong). BioMed Central 2014-02-20 /pmc/articles/PMC4022013/ /pubmed/24555784 http://dx.doi.org/10.1186/1745-6150-9-4 Text en Copyright © 2014 Tran and Huang; 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 credited. 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 | Review Tran, Ngoc Tam L Huang, Chun-Hsi A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data |
title | A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data |
title_full | A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data |
title_fullStr | A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data |
title_full_unstemmed | A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data |
title_short | A survey of motif finding Web tools for detecting binding site motifs in ChIP-Seq data |
title_sort | survey of motif finding web tools for detecting binding site motifs in chip-seq data |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4022013/ https://www.ncbi.nlm.nih.gov/pubmed/24555784 http://dx.doi.org/10.1186/1745-6150-9-4 |
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