CGAT: computational genomics analysis toolkit | Zendy

David Sims | Zendy; Nicholas E. Ilott | Zendy; Stephen N. Sansom | Zendy; Ian Sudbery | Zendy; Jethro S. Johnson | Zendy; Katherine A. Fawcett | Zendy; Antonio J. BerlangaTaylor | Zendy; Sebastián Luna-Valero | Zendy; Chris P. Ponting | Zendy; Andreas Heger | Zendy

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CGAT: computational genomics analysis toolkit

Author(s) -

David Sims,

Nicholas E. Ilott,

Stephen N. Sansom,

Ian Sudbery,

Jethro S. Johnson,

Katherine A. Fawcett,

Antonio J. BerlangaTaylor,

Sebastián Luna-Valero,

Chris P. Ponting,

Andreas Heger

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btt756

Subject(s) - computer science , automatic summarization , workflow , suite , annotation , genomics , file format , unix , software , genome , information retrieval , programming language , artificial intelligence , database , biology , genetics , gene , archaeology , history

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.

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