InterMOD: integrated data and tools for the unification of model organism research
| Autor: | Richard N. Smith, Pushkala Jayaraman, Rama Balakrishnan, Elizabeth A. Worthey, Steven B. Neuhauser, Gail Binkley, Julie Sullivan, Lincoln Stein, J. D. Wong, Jelena Aleksic, Sierra A. T. Moxon, J. Michael Cherry, Monte Westerfield, Todd W. Harris, Quang M. Trinh, Rachel Lyne, Benjamin C. Hitz, Gos Micklem, Simon N. Twigger, Andrew Vallejos, Howie Motenko, Joel Richardson, Christian Pich, Kalpana Karra |
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| Jazyk: | angličtina |
| Rok vydání: | 2013 |
| Předmět: |
Unification
Databases Factual media_common.quotation_subject ved/biology.organism_classification_rank.species Biology computer.software_genre Article Data modeling 03 medical and health sciences Consistency (database systems) 0302 clinical medicine Comparative research Databases Genetic Animals Function (engineering) Model organism 030304 developmental biology media_common 0303 health sciences Multidisciplinary Genome Models Genetic ved/biology Genomics Data science Data warehouse DECIPHER Data mining computer 030217 neurology & neurosurgery |
| Zdroj: | Scientific Reports |
| ISSN: | 2045-2322 |
| Popis: | Model organisms are widely used for understanding basic biology and have significantly contributed to the study of human disease. In recent years, genomic analysis has provided extensive evidence of widespread conservation of gene sequence and function amongst eukaryotes, allowing insights from model organisms to help decipher gene function in a wider range of species. The InterMOD consortium is developing an infrastructure based around the InterMine data warehouse system to integrate genomic and functional data from a number of key model organisms, leading the way to improved cross-species research. So far including budding yeast, nematode worm, fruit fly, zebrafish, rat and mouse, the project has set up data warehouses, synchronized data models and created analysis tools and links between data from different species. The project unites a number of major model organism databases, improving both the consistency and accessibility of comparative research, to the benefit of the wider scientific community. |
| Databáze: | OpenAIRE |
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