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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.

Original publication

DOI

10.1093/bioinformatics/btt756

Type

Journal article

Journal

Bioinformatics

Publication Date

01/05/2014

Volume

30

Pages

1290 - 1291

Keywords

Databases, Genetic, Genomics, High-Throughput Nucleotide Sequencing, Software, Workflow