BASC: An integrated bioinformatics system for Brassica research

Erwin, Timothy A., Jewell, Erica G., Love, Christopher G., Lim, Geraldine A. C., Chapman, Ross, Batley, Jacqueline, Stajich, Jason E., Mongin, Emmanuel, Stupka, Elia, Ross, Bruce, Spangenberg, German and Edwards, David (2007) BASC: An integrated bioinformatics system for Brassica research. Nucleic Acids Research, 35 suppl 1: D870-D873. doi:10.1093/nar/gkl998


Author Erwin, Timothy A.
Jewell, Erica G.
Love, Christopher G.
Lim, Geraldine A. C.
Chapman, Ross
Batley, Jacqueline
Stajich, Jason E.
Mongin, Emmanuel
Stupka, Elia
Ross, Bruce
Spangenberg, German
Edwards, David
Title BASC: An integrated bioinformatics system for Brassica research
Formatted title
BASC: An integrated bioinformatics system for Brassica research
Journal name Nucleic Acids Research   Check publisher's open access policy
ISSN 0305-1048
1362-4962
Publication date 2007-01
Year available 2006
Sub-type Article (original research)
DOI 10.1093/nar/gkl998
Open Access Status DOI
Volume 35
Issue suppl 1
Start page D870
End page D873
Total pages 4
Place of publication Oxford, United Kingdom
Publisher Oxford University Press
Language eng
Abstract The BASC system provides tools for the integrated mining and browsing of genetic, genomic and phenotypic data. This public resource hosts information on Brassica species supporting the Multinational Brassica Genome Sequencing Project, and is based upon five distinct modules, ESTDB, Microarray, MarkerQTL, CMap and EnsEMBL. ESTDB hosts expressed gene sequences and related annotation derived from comparison with GenBank, UniRef and the genome sequence of Arabidopsis. The Microarray module hosts gene expression information related to genes annotated within ESTDB. MarkerQTL is the most complex module and integrates information on genetic markers, maps, individuals, genotypes and traits. Two further modules include an Arabidopsis EnsEMBL genome viewer and the CMap comparative genetic map viewer for the visualization and integration of genetic and genomic data. The database is accessible at
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes First published online: December 5, 2006

Document type: Journal Article
Sub-type: Article (original research)
Collections: Excellence in Research Australia (ERA) - Collection
ERA 2012 Admin Only
Institute for Molecular Bioscience - Publications
 
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Created: Thu, 15 Jan 2009, 10:27:37 EST by Judy Dingwall on behalf of Institute for Molecular Bioscience