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Nucleic Acids Research 2006 34(Database Issue):D247-D251; doi:10.1093/nar/gkj149
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Nucleic Acids Research, 2006, Vol. 34, Database issue D247-D251
© The Author 2006. Published by Oxford University Press. All rights reserved
The online version of this article has been published under an open access model. Users are entitled to use, reproduce, disseminate, or display the open access version of this article for non-commercial purposes provided that: the original authorship is properly and fully attributed; the Journal and Oxford University Press are attributed as the original place of publication with the correct citation details given; if an article is subsequently reproduced or disseminated not in its entirety but only in part or as a derivative work this must be clearly indicated. For commercial re-use, please contact journals.permissions{at}oxfordjournals.org

Article

Pfam: clans, web tools and services

Robert D. Finn*, Jaina Mistry, Benjamin Schuster-Böckler, Sam Griffiths-Jones, Volker Hollich1, Timo Lassmann1, Simon Moxon, Mhairi Marshall, Ajay Khanna2, Richard Durbin, Sean R. Eddy2, Erik L. L. Sonnhammer1 and Alex Bateman

Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus Hinxton, Cambridge, CB10 1SA, UK 1Center for Genomics and Bioinformatics, Karolinska Institutet S-171 77 Stockholm, Sweden 2Department of Genetics, Howard Hughes Medical Institute, Washington University School of Medicine St Louis, MO 63110, USA

*To whom correspondence should be addressed. Tel: +44 1223 495330; Fax: +44 1223 494919; Email: rdf{at}sanger.ac.uk

Received September 15, 2005. Revised October 19, 2005. Accepted October 28, 2005.

Pfam is a database of protein families that currently contains 7973 entries (release 18.0). A recent development in Pfam has enabled the grouping of related families into clans. Pfam clans are described in detail, together with the new associated web pages. Improvements to the range of Pfam web tools and the first set of Pfam web services that allow programmatic access to the database and associated tools are also presented. Pfam is available on the web in the UK (http://www.sanger.ac.uk/Software/Pfam/), the USA (http://pfam.wustl.edu/), France (http://pfam.jouy.inra.fr/) and Sweden (http://pfam.cgb.ki.se/).


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