Integrative Genomics: In Silico Coupling of Rat Physiology and Complex Traits With Mouse and Human Data
Author(s) -
Simon Twigger,
Jeff Nie,
Victor Ruotti,
Jiaming Yu,
Dan Chen,
Dawei Li,
Jed Mathis,
Vijay Narayanasamy,
Gopal Gopinath,
Dean Pasko,
Mary Shimoyama,
Norberto de la Cruz,
Susan K. Bromberg,
Anne E. Kwitek,
Howard J. Jacob,
Peter J. Tonellato
Publication year - 2004
Publication title -
genome research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.556
H-Index - 297
eISSN - 1549-5469
pISSN - 1088-9051
DOI - 10.1101/gr.1974504
Subject(s) - biology , genomics , model organism , genome , computational biology , comparative genomics , in silico , functional genomics , human genome , sequence (biology) , genetics , gene
Integration of the large variety of genome maps from several organisms provides the mechanism by which physiological knowledge obtained in model systems such as the rat can be projected onto the human genome to further the research on human disease. The release of the rat genome sequence provides new information for studies using the rat model and is a key reference against which existing and new rat physiological results can be aligned. Previously, we described comparative maps of the rat, mouse, and human based on EST sequence comparisons combined with radiation hybrid maps. Here, we use new data and introduce the Integrated Genomics Environment, an extensive database of curated and integrated maps, markers, and physiological results. These results are integrated by using VCMapview, a java-based map integration and visualization tool. This unique environment allows researchers to relate results from cytogenetic, genetic, and radiation hybrid studies to the genome sequence and compare regions of interest between human, mouse, and rat. Integrating rat physiology with mouse genetics and clinical results from human by using the respective genomes provides a novel route to capitalize on comparative genomics and the strengths of model organism biology.
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