| Literature DB >> 26097192 |
Rachel Lyne1,2, Julie Sullivan1,2, Daniela Butano1,2, Sergio Contrino1,2, Joshua Heimbach1,2, Fengyuan Hu1,2, Alex Kalderimis1,2, Mike Lyne1,2, Richard N Smith1,2, Radek Štěpán1,2, Rama Balakrishnan3, Gail Binkley3, Todd Harris4, Kalpana Karra3, Sierra A T Moxon5, Howie Motenko6, Steven Neuhauser6, Leyla Ruzicka5, Mike Cherry3, Joel Richardson6, Lincoln Stein4, Monte Westerfield5,7, Elizabeth Worthey8, Gos Micklem1,2.
Abstract
InterMine is a data integration warehouse and analysis software system developed for large and complex biological data sets. Designed for integrative analysis, it can be accessed through a user-friendly web interface. For bioinformaticians, extensive web services as well as programming interfaces for most common scripting languages support access to all features. The web interface includes a useful identifier look-up system, and both simple and sophisticated search options. Interactive results tables enable exploration, and data can be filtered, summarized, and browsed. A set of graphical analysis tools provide a rich environment for data exploration including statistical enrichment of sets of genes or other entities. InterMine databases have been developed for the major model organisms, budding yeast, nematode worm, fruit fly, zebrafish, mouse, and rat together with a newly developed human database. Here, we describe how this has facilitated interoperation and development of cross-organism analysis tools and reports. InterMine as a data exploration and analysis tool is also described. All the InterMine-based systems described in this article are resources freely available to the scientific community.Entities:
Keywords: comparative analysis; cross-organism analysis; data analysis; data integration; genomics; integrative analysis; proteomics
Mesh:
Year: 2015 PMID: 26097192 PMCID: PMC4545681 DOI: 10.1002/dvg.22869
Source DB: PubMed Journal: Genesis ISSN: 1526-954X Impact factor: 2.487