Cross-organism analysis using InterMine. Lyne, R., Sullivan, J., Butano, D., Contrino, S., Heimbach, J., Hu, F., Kalderimis, A., Lyne, M., Smith, R. N., Štěpán, R., Balakrishnan, R., Binkley, G., Harris, T., Karra, K., Moxon, S. A. T., Motenko, H., Neuhauser, S., Ruzicka, L., Cherry, M., Richardson, J., Stein, L., Westerfield, M., Worthey, E., & Micklem, G. Genesis (New York, N.Y.: 2000), 53(8):547–560, August, 2015. doi abstract bibtex 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.
@article{lyne_cross-organism_2015,
title = {Cross-organism analysis using {InterMine}},
volume = {53},
issn = {1526-968X},
doi = {10.1002/dvg.22869},
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.},
language = {eng},
number = {8},
journal = {Genesis (New York, N.Y.: 2000)},
author = {Lyne, Rachel and Sullivan, Julie and Butano, Daniela and Contrino, Sergio and Heimbach, Joshua and Hu, Fengyuan and Kalderimis, Alex and Lyne, Mike and Smith, Richard N. and Štěpán, Radek and Balakrishnan, Rama and Binkley, Gail and Harris, Todd and Karra, Kalpana and Moxon, Sierra A. T. and Motenko, Howie and Neuhauser, Steven and Ruzicka, Leyla and Cherry, Mike and Richardson, Joel and Stein, Lincoln and Westerfield, Monte and Worthey, Elizabeth and Micklem, Gos},
month = aug,
year = {2015},
pmid = {26097192},
pmcid = {PMC4545681},
keywords = {Animals, Computational Biology, Databases, Factual, Databases, Genetic, Genomics, Humans, Internet, Software, Systems Integration, User-Computer Interface, comparative analysis, cross-organism analysis, data analysis, data integration, genomics, integrative analysis, proteomics},
pages = {547--560}
}
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