Curation of complex, context-dependent immunological data.
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.


METHODS
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.


CONCLUSIONS
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.
Vita
Randi
R
La Jolla Institute for Allergy and Immunology, 3030 Bunker Hill Street, Suite 326, San Diego, California, USA. rvita@liai.org
Vaughan
Kerrie
K
Zarebski
Laura
L
Salimi
Nima
N
Fleri
Ward
W
Grey
Howard
H
Sathiamurthy
Muthu
M
Mokili
John
J
Bui
Huynh-Hoa
HH
Bourne
Philip E
PE
Ponomarenko
Julia
J
de Castro
Romulo
R
Chan
Russell K
RK
Sidney
John
J
Wilson
Stephen S
SS
Stewart
Scott
S
Way
Scott
S
Peters
Bjoern
B
Sette
Alessandro
A
D000486:Allergy and Immunology; D000818:Animals; D001185:Artificial Intelligence; D019295:Computational Biology / Q000379:methods*; D003628:Database Management Systems; D016208:Databases, Factual; D030562:Databases, Protein; D000939:Epitopes / Q000737:chemistry*; D006801:Humans; D007107:Immune System; D016247:Information Storage and Retrieval; D015233:Models, Statistical; D010363:Pattern Recognition, Automated
D000939:Epitopes