PubMed-EX: a web browser extension to enhance PubMed search with text mining features | Zendy

Richard TzongHan Tsai | Zendy; Hong-Jie Dai | Zendy; PoTing Lai | Zendy; ChiHsin Huang | Zendy

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PubMed-EX: a web browser extension to enhance PubMed search with text mining features

Author(s) -

Richard TzongHan Tsai,

Hong-Jie Dai,

PoTing Lai,

ChiHsin Huang

Publication year - 2009

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btp475

Subject(s) - computer science , extension (predicate logic) , information retrieval , world wide web , categorization , key (lock) , relation (database) , data mining , artificial intelligence , programming language , computer security

PubMed-EX is a browser extension that marks up PubMed search results with additional text-mining information. PubMed-EX's page mark-up, which includes section categorization and gene/disease and relation mark-up, can help researchers to quickly focus on key terms and provide additional information on them. All text processing is performed server-side, freeing up user resources.

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