Brassica ASTRA: an integrated database for Brassica genomic research

Brassica ASTRA is a public database for genomic information on Brassica species. The database incorporates expressed sequences with Swiss-Prot and GenBank comparative sequence annotation as well as secondary Gene Ontology (GO) annotation derived from the comparison with Arabidopsis TAIR GO annotatio...

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Main Authors: Love, Christopher G., Robinson, Andrew J., Lim, Geraldine A. C., Hopkins, Clare J., Batley, Jacqueline, Barker, Gary, Spangenberg, German C., Edwards, David
Format: Online
Language:English
Published: Oxford University Press 2005
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC539990/
id pubmed-539990
recordtype oai_dc
spelling pubmed-5399902005-01-04 Brassica ASTRA: an integrated database for Brassica genomic research Love, Christopher G. Robinson, Andrew J. Lim, Geraldine A. C. Hopkins, Clare J. Batley, Jacqueline Barker, Gary Spangenberg, German C. Edwards, David Articles Brassica ASTRA is a public database for genomic information on Brassica species. The database incorporates expressed sequences with Swiss-Prot and GenBank comparative sequence annotation as well as secondary Gene Ontology (GO) annotation derived from the comparison with Arabidopsis TAIR GO annotations. Simple sequence repeat molecular markers are identified within resident sequences and mapped onto the closely related Arabidopsis genome sequence. Bacterial artificial chromosome (BAC) end sequences derived from the Multinational Brassica Genome Project are also mapped onto the Arabidopsis genome sequence enabling users to identify candidate Brassica BACs corresponding to syntenic regions of Arabidopsis. This information is maintained in a MySQL database with a web interface providing the primary means of interrogation. The database is accessible at http://hornbill.cspp.latrobe.edu.au. Oxford University Press 2005-01-01 2004-12-17 /pmc/articles/PMC539990/ /pubmed/15608282 http://dx.doi.org/10.1093/nar/gki036 Text en Copyright © 2005 Oxford University Press
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Love, Christopher G.
Robinson, Andrew J.
Lim, Geraldine A. C.
Hopkins, Clare J.
Batley, Jacqueline
Barker, Gary
Spangenberg, German C.
Edwards, David
spellingShingle Love, Christopher G.
Robinson, Andrew J.
Lim, Geraldine A. C.
Hopkins, Clare J.
Batley, Jacqueline
Barker, Gary
Spangenberg, German C.
Edwards, David
Brassica ASTRA: an integrated database for Brassica genomic research
author_facet Love, Christopher G.
Robinson, Andrew J.
Lim, Geraldine A. C.
Hopkins, Clare J.
Batley, Jacqueline
Barker, Gary
Spangenberg, German C.
Edwards, David
author_sort Love, Christopher G.
title Brassica ASTRA: an integrated database for Brassica genomic research
title_short Brassica ASTRA: an integrated database for Brassica genomic research
title_full Brassica ASTRA: an integrated database for Brassica genomic research
title_fullStr Brassica ASTRA: an integrated database for Brassica genomic research
title_full_unstemmed Brassica ASTRA: an integrated database for Brassica genomic research
title_sort brassica astra: an integrated database for brassica genomic research
description Brassica ASTRA is a public database for genomic information on Brassica species. The database incorporates expressed sequences with Swiss-Prot and GenBank comparative sequence annotation as well as secondary Gene Ontology (GO) annotation derived from the comparison with Arabidopsis TAIR GO annotations. Simple sequence repeat molecular markers are identified within resident sequences and mapped onto the closely related Arabidopsis genome sequence. Bacterial artificial chromosome (BAC) end sequences derived from the Multinational Brassica Genome Project are also mapped onto the Arabidopsis genome sequence enabling users to identify candidate Brassica BACs corresponding to syntenic regions of Arabidopsis. This information is maintained in a MySQL database with a web interface providing the primary means of interrogation. The database is accessible at http://hornbill.cspp.latrobe.edu.au.
publisher Oxford University Press
publishDate 2005
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC539990/
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