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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Oxford University Press
2005
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Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC539990/ |
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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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1611370245520359424 |