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CGAT: computational genomics analysis toolkit

Summary: Computational genomics seeks to draw biological inferences from genomic datasets, often by integrating and contextualizing next-generation sequencing data. CGAT provides an extensive suite of tools designed to assist in the analysis of genome scale data from a range of standard file formats...

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Detalles Bibliográficos
Autores principales: Sims, David, Ilott, Nicholas E., Sansom, Stephen N., Sudbery, Ian M., Johnson, Jethro S., Fawcett, Katherine A., Berlanga-Taylor, Antonio J., Luna-Valero, Sebastian, Ponting, Chris P., Heger, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3998125/
https://www.ncbi.nlm.nih.gov/pubmed/24395753
http://dx.doi.org/10.1093/bioinformatics/btt756
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author Sims, David
Ilott, Nicholas E.
Sansom, Stephen N.
Sudbery, Ian M.
Johnson, Jethro S.
Fawcett, Katherine A.
Berlanga-Taylor, Antonio J.
Luna-Valero, Sebastian
Ponting, Chris P.
Heger, Andreas
author_facet Sims, David
Ilott, Nicholas E.
Sansom, Stephen N.
Sudbery, Ian M.
Johnson, Jethro S.
Fawcett, Katherine A.
Berlanga-Taylor, Antonio J.
Luna-Valero, Sebastian
Ponting, Chris P.
Heger, Andreas
author_sort Sims, David
collection PubMed
description Summary: Computational genomics seeks to draw biological inferences from genomic datasets, often by integrating and contextualizing next-generation sequencing data. CGAT provides an extensive suite of tools designed to assist in the analysis of genome scale data from a range of standard file formats. The toolkit enables filtering, comparison, conversion, summarization and annotation of genomic intervals, gene sets and sequences. The tools can both be run from the Unix command line and installed into visual workflow builders, such as Galaxy. Availability: The toolkit is freely available from http://github.com/CGATOxford/cgat Contact: andreas.heger@dpag.ox.ac.uk
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spelling pubmed-39981252014-04-24 CGAT: computational genomics analysis toolkit Sims, David Ilott, Nicholas E. Sansom, Stephen N. Sudbery, Ian M. Johnson, Jethro S. Fawcett, Katherine A. Berlanga-Taylor, Antonio J. Luna-Valero, Sebastian Ponting, Chris P. Heger, Andreas Bioinformatics Applications Notes Summary: Computational genomics seeks to draw biological inferences from genomic datasets, often by integrating and contextualizing next-generation sequencing data. CGAT provides an extensive suite of tools designed to assist in the analysis of genome scale data from a range of standard file formats. The toolkit enables filtering, comparison, conversion, summarization and annotation of genomic intervals, gene sets and sequences. The tools can both be run from the Unix command line and installed into visual workflow builders, such as Galaxy. Availability: The toolkit is freely available from http://github.com/CGATOxford/cgat Contact: andreas.heger@dpag.ox.ac.uk Oxford University Press 2014-05-01 2014-01-05 /pmc/articles/PMC3998125/ /pubmed/24395753 http://dx.doi.org/10.1093/bioinformatics/btt756 Text en © The Author 2014. Published by Oxford University Press. http://creativecommons.org/licenses/by/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Sims, David
Ilott, Nicholas E.
Sansom, Stephen N.
Sudbery, Ian M.
Johnson, Jethro S.
Fawcett, Katherine A.
Berlanga-Taylor, Antonio J.
Luna-Valero, Sebastian
Ponting, Chris P.
Heger, Andreas
CGAT: computational genomics analysis toolkit
title CGAT: computational genomics analysis toolkit
title_full CGAT: computational genomics analysis toolkit
title_fullStr CGAT: computational genomics analysis toolkit
title_full_unstemmed CGAT: computational genomics analysis toolkit
title_short CGAT: computational genomics analysis toolkit
title_sort cgat: computational genomics analysis toolkit
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3998125/
https://www.ncbi.nlm.nih.gov/pubmed/24395753
http://dx.doi.org/10.1093/bioinformatics/btt756
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