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Open Access Database

Curation of complex, context-dependent immunological data

Randi Vita1*, Kerrie Vaughan1, Laura Zarebski1, Nima Salimi1, Ward Fleri1, Howard Grey1, Muthu Sathiamurthy1, John Mokili1, Huynh-Hoa Bui1, Philip E Bourne23, Julia Ponomarenko2, Romulo de Castro1, Russell K Chan1, John Sidney1, Stephen S Wilson1, Scott Stewart4, Scott Way4, Bjoern Peters1 and Alessandro Sette1

Author Affiliations

1 La Jolla Institute for Allergy and Immunology, 3030 Bunker Hill Street, Suite 326, San Diego, California, USA

2 San Diego Supercomputer Center, P.O. Box 85608, San Diego, California, USA

3 Department of Pharmacology, University of California, San Diego, 9500 Gilman Drive La Jolla California, USA

4 Science Applications International Corporation, 10260 Campus Point Drive, MS-A2F, San Diego, California, USA

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BMC Bioinformatics 2006, 7:341  doi:10.1186/1471-2105-7-341

Published: 12 July 2006

Abstract

Background

The Immune Epitope Database and Analysis Resource (IEDB) is dedicated to capturing, housing and analyzing complex immune epitope related data http://www.immuneepitope.org webcite.

Description

To identify and extract relevant data from the scientific literature in an efficient and accurate manner, novel processes were developed for manual and semi-automated annotation.

Conclusion

Formalized curation strategies enable the processing of a large volume of context-dependent data, which are now available to the scientific community in an accessible and transparent format. The experiences described herein are applicable to other databases housing complex biological data and requiring a high level of curation expertise.