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CGAT: computational genomics analysis toolkit.

Authors
  • 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
Type
Published Article
Journal
Bioinformatics
Publisher
Oxford University Press (OUP)
Publication Date
May 01, 2014
Volume
30
Issue
9
Pages
1290–1291
Identifiers
DOI: 10.1093/bioinformatics/btt756
PMID: 24395753
Source
Medline
License
Unknown

Abstract

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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