Integrating computationally assembled mouse transcript sequences with the Mouse Genome Informatics (MGI) database.
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.
Zhu
Yunxia
Y
Mouse Genome Informatics, The Jackson Laboratory, Bar Harbor, ME 04609, USA. yz@informatics.jax.org
King
Benjamin L
BL
Parvizi
Babak
B
Brunk
Brian P
BP
Stoeckert
Christian J
CJ
Quackenbush
John
J
Richardson
Joel
J
Bult
Carol J
CJ
D000818:Animals; D019295:Computational Biology / Q000379:methods; D030561:Databases, Nucleic Acid; D016678:Genome; D051379:Mice / Q000235:genetics*; D014158:Transcription, Genetic