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Curation of complex, context-dependent immunological data

Randi Vita1 email, Kerrie Vaughan1 email, Laura Zarebski1 email, Nima Salimi1 email, Ward Fleri1 email, Howard Grey1 email, Muthu Sathiamurthy1 email, John Mokili1 email, Huynh-Hoa Bui1 email, Philip E Bourne2,3 email, Julia Ponomarenko2 email, Romulo de Castro Jr1 email, Russell K Chan1 email, John Sidney1 email, Stephen S Wilson1 email, Scott Stewart4 email, Scott Way4 email, Bjoern Peters1 email and Alessandro Sette1 email

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

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

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

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

author email corresponding author email

BMC Bioinformatics 2006, 7:341doi: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.


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