InterMine
Computational Tool
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General Information
DescriptionA flexible data warehouse system for the integration and analysis of heterogeneous biological data
Homepagehttp://www.intermine.org
Publications
InterMine: a flexible data warehouse system for the integration and analysis of heterogeneous biological data
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; Matthew Wakeling; Xavier Watkins; Gos Micklem
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.
Availability: Freely available from http://www.intermine.org under the LGPL license.
Contact: g.micklem@gen.cam.ac.uk
Supplementary information: Supplementary data are available at Bioinformatics online.
DOI: https://doi.org/10.1093/bioinformatics/bts577
Metrics:
46
InterMine: extensive web services for modern biology
Alex Kalderimis; Rachel Lyne; Daniela Butano; Sergio Contrino; Mike Lyne; Joshua Heimbach; Fengyuan Hu; Richard Smith; Radek Štěpán; Julie Sullivan; Gos Micklem
InterMine (www.intermine.org) is a biological data warehousing system providing extensive automatically generated and configurable RESTful web services that underpin the web interface and can be re-used in many other applications: to find and filter data; export it in a flexible and structured way; to upload, use, manipulate and analyze lists; to provide services for flexible retrieval of sequence segments, and for other statistical and analysis tools. Here we describe these features and discuss how they can be used separately or in combinations to support integrative and comparative analysis.
DOI: https://doi.org/10.1093/nar/gku301
Metrics:
46
Canned Analyses generated by the tool
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Datasets analyzed by the tool
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