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Oxford University Press (OUP), Bioinformatics, 23(28), p. 3163-3165

DOI: 10.1093/bioinformatics/bts577

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InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data

Journal article published in 2012 by Richard N. Smith, Jelena Aleksic, Daniela Butano, Adrian Carr, Sergio Contrino, Fengyuan Hu, Mike Lyne, Rachel Lyne, Alex Kalderimis, Kim Rutherford, Radek Stepan, Julie Sullivan ORCID, Matthew Wakeling, Xavier Watkins, Gos Micklem ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

Summary: InterMine is an open-source data warehouse system that facilitates the building of databases with complex data integration requirements and a need for a fast customizable query facility. Using InterMine, large biological databases can be created from a range of heterogeneous data sources, and the extensible data model allows for easy integration of new data types. The analysis tools include a flexible query builder, genomic region search and a library of ‘widgets’ performing various statistical analyses. The results can be exported in many commonly used formats. InterMine is a fully extensible framework where developers can add new tools and functionality. Additionally, there is a comprehensive set of web services, for which client libraries are provided in five commonly used programming languages.