‘Harvester’: a fast meta search engine of human protein resources | Zendy

Urban Liebel | Zendy; Bjoern Kindler | Zendy; Rainer Pepperkok | Zendy

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‘Harvester’: a fast meta search engine of human protein resources

Author(s) -

Urban Liebel,

Bjoern Kindler,

Rainer Pepperkok

Publication year - 2004

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/bth146

Subject(s) - computer science , search engine , database search engine , information retrieval , database , data mining , world wide web

We have developed a Web-based tool named 'Harvester' that bulk-collects bioinformatic data on human proteins from various databases and prediction servers. The information on every single protein is assembled on a single HTML page as a combination of database screen-shots and plain text. A full text meta search engine, similar to Google trade mark, allows screening of the whole genome proteome for current protein functions and predictions in a few seconds. With Harvester it is now possible to compare and check the quality of different database entries and prediction algorithms on a single page. A feedback forum allows users to comment on Harvester and to report database inconsistencies.

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