复杂的、依赖于上下文的免疫学数据的管理。
Curation of complex, context-dependent immunological data.
作者信息
Vita Randi, Vaughan Kerrie, Zarebski Laura, Salimi Nima, Fleri Ward, Grey Howard, Sathiamurthy Muthu, Mokili John, Bui Huynh-Hoa, Bourne Philip E, Ponomarenko Julia, de Castro Romulo, Chan Russell K, Sidney John, Wilson Stephen S, Stewart Scott, Way Scott, Peters Bjoern, Sette Alessandro
机构信息
La Jolla Institute for Allergy and Immunology, 3030 Bunker Hill Street, Suite 326, San Diego, California, USA.
出版信息
BMC Bioinformatics. 2006 Jul 12;7:341. doi: 10.1186/1471-2105-7-341.
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.
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.
摘要
背景
免疫表位数据库与分析资源库（IEDB）致力于收集、存储和分析与复杂免疫表位相关的数据，网址为http://www.immuneepitope.org。
描述
为了以高效且准确的方式从科学文献中识别和提取相关数据，开发了用于人工和半自动注释的新流程。
结论
形式化的管理策略能够处理大量依赖上下文的数据，这些数据现在以可访问且透明的格式提供给科学界。本文所述的经验适用于其他存储复杂生物数据且需要高水平管理专业知识的数据库。
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