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Integrating computationally assembled mouse transcript sequences with the Mouse Genome Informatics (MGI) database

Yunxia Zhu1*, Benjamin L King1, Babak Parvizi2, Brian P Brunk3, Christian J Stoeckert3, John Quackenbush4, Joel Richardson1 and Carol J Bult1

Author Affiliations

1 Mouse Genome Informatics, The Jackson Laboratory, Bar Harbor, ME 04609, USA

2 Invitrogen Corporation, 1610 Faraday Ave, Carlsbad, CA 92008, USA

3 Center for Bioinformatics, University of Pennsylvania, Philadelphia, PA 19104, USA

4 The Institute for Genomic Research, Rockville, MD 20850, USA

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Genome Biology 2003, 4:R16  doi:10.1186/gb-2003-4-2-r16

Published: 3 February 2003


Databases of experimentally generated and computationally derived transcript sequences are valuable resources for genome analysis and annotation. The utility of such databases is enhanced when the sequences they contain are integrated with such biological information as genomic location, gene function, gene expression and phenotypic variation. We present the analysis and results of a semi-automated process of connecting transcript assemblies with highly curated biological information for mouse genes that is available through the Mouse Genome Informatics (MGI) database.