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 functi...

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Detalles Bibliográficos
Autores principales: Zhu, Yunxia, King, Benjamin L, Parvizi, Babak, Brunk, Brian P, Stoeckert, Christian J, Quackenbush, John, Richardson, Joel, Bult, Carol J
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2003
Materias:
Software
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC151306/
https://www.ncbi.nlm.nih.gov/pubmed/12620126
http://dx.doi.org/10.1186/gb-2003-4-2-r16
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author Zhu, Yunxia
King, Benjamin L
Parvizi, Babak
Brunk, Brian P
Stoeckert, Christian J
Quackenbush, John
Richardson, Joel
Bult, Carol J
author_facet Zhu, Yunxia
King, Benjamin L
Parvizi, Babak
Brunk, Brian P
Stoeckert, Christian J
Quackenbush, John
Richardson, Joel
Bult, Carol J
author_sort Zhu, Yunxia
collection PubMed
description 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.
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spelling pubmed-1513062003-03-13 Integrating computationally assembled mouse transcript sequences with the Mouse Genome Informatics (MGI) database Zhu, Yunxia King, Benjamin L Parvizi, Babak Brunk, Brian P Stoeckert, Christian J Quackenbush, John Richardson, Joel Bult, Carol J Genome Biol Software 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. BioMed Central 2003 2003-02-03 /pmc/articles/PMC151306/ /pubmed/12620126 http://dx.doi.org/10.1186/gb-2003-4-2-r16 Text en Copyright © 2003 Zhu et al; licensee BioMed Central Ltd. This is an Open Access article: verbatim copying and redistribution of this article are permitted in all media for any purpose, provided this notice is preserved along with the article's original URL.
spellingShingle Software
Zhu, Yunxia
King, Benjamin L
Parvizi, Babak
Brunk, Brian P
Stoeckert, Christian J
Quackenbush, John
Richardson, Joel
Bult, Carol J
Integrating computationally assembled mouse transcript sequences with the Mouse Genome Informatics (MGI) database
title Integrating computationally assembled mouse transcript sequences with the Mouse Genome Informatics (MGI) database
title_full Integrating computationally assembled mouse transcript sequences with the Mouse Genome Informatics (MGI) database
title_fullStr Integrating computationally assembled mouse transcript sequences with the Mouse Genome Informatics (MGI) database
title_full_unstemmed Integrating computationally assembled mouse transcript sequences with the Mouse Genome Informatics (MGI) database
title_short Integrating computationally assembled mouse transcript sequences with the Mouse Genome Informatics (MGI) database
title_sort integrating computationally assembled mouse transcript sequences with the mouse genome informatics (mgi) database
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC151306/
https://www.ncbi.nlm.nih.gov/pubmed/12620126
http://dx.doi.org/10.1186/gb-2003-4-2-r16
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