Nucleic Acids Research Advance Access originally published online on October 12, 2007
Nucleic Acids Research 2008 36(Database issue):D582-D587; doi:10.1093/nar/gkm853
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Nucleic Acids Research, 2008, Vol. 36, Database issue D582-D587
© 2007 The Author(s)
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
This article appears in the following Nucleic Acids Research issue: Database issue [View the issue table of contents]
Articles |
ButterflyBase: a platform for lepidopteran genomics
1Institute for Evolutionary Biology, University of Edinburgh, King's Buildings, EH9 3JT, UK, 2Max Planck Institute for Chemical Ecology, Jena, 07745, Germany, 3Department of Genetics, North Caroline State University, Raleigh, NC 27695-7614, USA and 4Department of Zoology, University of Cambridge, Downing Street, CB2 3EJ, UK
*To whom correspondence should be addressed. Tel: +493641571561; Fax: +493641571502; Email: alexie{at}butterflybase.org
Received August 15, 2007. Revised September 25, 2007. Accepted September 26, 2007.
With over 100 000 species and a large community of evolutionary biologists, population ecologists, pest biologists and genome researchers, the Lepidoptera are an important insect group. Genomic resources [expressed sequence tags (ESTs), genome sequence, genetic and physical maps, proteomic and microarray datasets] are growing, but there has up to now been no single access and analysis portal for this group. Here we present ButterflyBase (http://www.butterflybase.org), a unified resource for lepidopteran genomics. A total of 273 077 ESTs from more than 30 different species have been clustered to generate stable unigene sets, and robust protein translations derived from each unigene cluster. Clusters and their protein translations are annotated with BLAST-based similarity, gene ontology (GO), enzyme classification (EC) and Kyoto encyclopaedia of genes and genomes (KEGG) terms, and are also searchable using similarity tools such as BLAST and MS-BLAST. The database supports many needs of the lepidopteran research community, including molecular marker development, orthologue prediction for deep phylogenetics, and detection of rapidly evolving proteins likely involved in host–pathogen or other evolutionary processes. ButterflyBase is expanding to include additional genomic sequence, ecological and mapping data for key species.
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