Enteropathogen Resource Integration Center (ERIC): bioinformatics support for research on biodefense-relevant enterobacteria
Jeremy D. Glasner1,*, Guy Plunkett, III2, Bradley D. Anderson1, David J. Baumler1, Bryan S. Biehl1, Valerie Burland1,2, Eric L. Cabot1, Aaron E. Darling3, Bob Mau1, Eric C. Neeno-Eckwall1, David Pot4, Yu Qiu5, Anna I. Rissman1, Sara Worzella1, Sam Zaremba4, Joel Fedorko4, Tom Hampton4, Paul Liss1, Michael Rusch1, Matthew Shaker4, Lorie Shaull4, Panna Shetty4, Silpa Thotakura4, Jon Whitmore4, Frederick R. Blattner1,2, John M. Greene4 and Nicole T. Perna1,2
1Genome Center, University of Wisconsin, 425G Henry Mall, Madison, Madison, WI 53703, 2Laboratory of Genetics, University of Wisconsin, 425G Henry Mall, Madison, WI 53706, USA, 3University of Queensland, Institute for Molecular Bioscience, St Lucia Q 4072, Australia, 4SRA International, Inc., 11300 Rockville Pike, Suite 501, Rockville MD 20852 and 5University of California, San Diego, Bioengineering, 9500 Gilman Drive, La Jolla, CA 92093, USA
*To whom correspondence should be addressed. Tel: +1 608 890 0171; Fax: +1 608 890 0167; Email: [email protected]
Received September 28, 2007. Revised October 17, 2007. Accepted October 18, 2007.
ERIC, the Enteropathogen Resource Integration Center (www.ericbrc.org), is a new web portal serving as a rich source of information about enterobacteria on the NIAID established list of Select Agents related to biodefense—diarrheagenic Escherichia coli, Shigella spp., Salmonella spp., Yersinia enterocolitica and Yersinia pestis. More than 30 genomes have been completely sequenced, many more exist in draft form and additional projects are underway. These organisms are increasingly the focus of studies using high-throughput experimental technologies and computational approaches. This wealth of data provides unprecedented opportunities for understanding the workings of basic biological systems and discovery of novel targets for development of vaccines, diagnostics and therapeutics. ERIC brings information together from disparate sources and supports data comparison across different organisms, analysis of varying data types and visualization of analyses in human and computer-readable formats.
Nucleic Acids Research, doi:10.1093/nar/gkm973. 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/).