Text-mining and information-retrieval services for molecular biology

被引：119

作者：

Krallinger, M ^{[1
]}

Valencia, A ^{[1
]}

机构：

[1] CSIC, CNB, Natl Biotechnol Ctr, Prot Design Grp, E-28049 Madrid, Spain

来源：

GENOME BIOLOGY | 2005年 / 6卷 / 07期

关键词：

D O I：

10.1186/gb-2005-6-7-224

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 [微生物学]; 0836 [生物工程]; 090102 [作物遗传育种]; 100705 [微生物与生化药学];

摘要：

Text-mining in molecular biology - defined as the automatic extraction of information about genes, proteins and their functional relationships from text documents - has emerged as a hybrid discipline on the edges of the fields of information science, bioinformatics and computational linguistics. A range of text-mining applications have been developed recently that will improve access to knowledge for biologists and database annotators.

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