The CottonDB project is directed by Dr. Richard G. Percy, Research
Leader of Crop Germplasm Research Unit, USDA ARS, College Station, TX.
CottonDB is a database that contains genomic, genetic and taxonomic
information for cotton (
Gossypium spp.). It serves both as an archival
database and as a dynamic database which incorporates new data and user
resources.
In 1995, CottonDB was initiated as part of a national program
to develop plant genome databases for all agricultural commodities.
Sponsored by the United States Department of Agriculture
(USDA)/Agricultural Research Service
(ARS), it is the first and most
extensively used database for cotton worldwide.
CottonDB.org is the new
home for the expanded and enhanced version of CottonDB. Migration from
the original site is underway and some
information will be found there until the migration is completed. The
database has been enhanced to better serve as a convenient medium for
cotton researchers to access large amounts of cotton biological and
descriptive data. CottonDB.org also incorporates/will incorporate other
convenient visualization tools such as a FingerPrint Contig Viewer
(WebFPC of
AGCoL), Comparative Maps (CMap
of GMOD), Generic Genome Browser
(GBrowse of GMOD) and Web Blast Server
(of NCBI). Interactions among these tools and with other commonly used
public databases (i.e. GENBANK, EMBL, and DDBJ) are also possible. In
addition, Quick Queries helps users to expedite access onto the most
frequently asked queries.
Currently, CottonDB.org contains:
- Genomic markers and nucleotide sequences
- Genes, alleles and gene products
- Taxonomy of the Gossypium genus
- Genetic maps
- Contact information and research interests of colleagues
- Relevant bibliographic citations
CottonDB is a product of the Agricultural Research Service of
the US Department of Agriculture and is
maintained as a public resource to serve the cotton research
community. It is an open source available to all. Please attribute
all information derived from CottonDB to this website by citing
"U.S. Department of Agriculture, Agricultural Research Service CottonDB at
www.cottondb.org."
In addition, some CottonDB pages cite the original author in the
Data_source field;
these original sources should be included in the citation.
