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The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data

BACKGROUND: ChIP-seq and related high-throughput chromatin profilig assays generate ever increasing volumes of highly valuable biological data. To make sense out of it, biologists need versatile, efficient and user-friendly tools for access, visualization and itegrative analysis of such data. RESULT...

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Autores principales: Ambrosini, Giovanna, Dreos, René, Kumar, Sunil, Bucher, Philipp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116162/
https://www.ncbi.nlm.nih.gov/pubmed/27863463
http://dx.doi.org/10.1186/s12864-016-3288-8
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author Ambrosini, Giovanna
Dreos, René
Kumar, Sunil
Bucher, Philipp
author_facet Ambrosini, Giovanna
Dreos, René
Kumar, Sunil
Bucher, Philipp
author_sort Ambrosini, Giovanna
collection PubMed
description BACKGROUND: ChIP-seq and related high-throughput chromatin profilig assays generate ever increasing volumes of highly valuable biological data. To make sense out of it, biologists need versatile, efficient and user-friendly tools for access, visualization and itegrative analysis of such data. RESULTS: Here we present the ChIP-Seq command line tools and web server, implementing basic algorithms for ChIP-seq data analysis starting with a read alignment file. The tools are optimized for memory-efficiency and speed thus allowing for processing of large data volumes on inexpensive hardware. The web interface provides access to a large database of public data. The ChIP-Seq tools have a modular and interoperable design in that the output from one application can serve as input to another one. Complex and innovative tasks can thus be achieved by running several tools in a cascade. CONCLUSIONS: The various ChIP-Seq command line tools and web services either complement or compare favorably to related bioinformatics resources in terms of computational efficiency, ease of access to public data and interoperability with other web-based tools. The ChIP-Seq server is accessible at http://ccg.vital-it.ch/chipseq/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3288-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-51161622016-11-25 The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data Ambrosini, Giovanna Dreos, René Kumar, Sunil Bucher, Philipp BMC Genomics Software BACKGROUND: ChIP-seq and related high-throughput chromatin profilig assays generate ever increasing volumes of highly valuable biological data. To make sense out of it, biologists need versatile, efficient and user-friendly tools for access, visualization and itegrative analysis of such data. RESULTS: Here we present the ChIP-Seq command line tools and web server, implementing basic algorithms for ChIP-seq data analysis starting with a read alignment file. The tools are optimized for memory-efficiency and speed thus allowing for processing of large data volumes on inexpensive hardware. The web interface provides access to a large database of public data. The ChIP-Seq tools have a modular and interoperable design in that the output from one application can serve as input to another one. Complex and innovative tasks can thus be achieved by running several tools in a cascade. CONCLUSIONS: The various ChIP-Seq command line tools and web services either complement or compare favorably to related bioinformatics resources in terms of computational efficiency, ease of access to public data and interoperability with other web-based tools. The ChIP-Seq server is accessible at http://ccg.vital-it.ch/chipseq/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-016-3288-8) contains supplementary material, which is available to authorized users. BioMed Central 2016-11-18 /pmc/articles/PMC5116162/ /pubmed/27863463 http://dx.doi.org/10.1186/s12864-016-3288-8 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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
Ambrosini, Giovanna
Dreos, René
Kumar, Sunil
Bucher, Philipp
The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data
title The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data
title_full The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data
title_fullStr The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data
title_full_unstemmed The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data
title_short The ChIP-Seq tools and web server: a resource for analyzing ChIP-seq and other types of genomic data
title_sort chip-seq tools and web server: a resource for analyzing chip-seq and other types of genomic data
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116162/
https://www.ncbi.nlm.nih.gov/pubmed/27863463
http://dx.doi.org/10.1186/s12864-016-3288-8
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