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Bioinformatics Advance Access published online on February 26, 2004
Bioinformatics, doi:10.1093/bioinformatics/bth146
Bioinformatics © Oxford University Press 2004; all rights reserved
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Received September 17, 2003
Revised December 9, 2003
Accepted January 5, 2004

Applications note

"Harvester" a fast meta search engine of human protein resources

Urban Liebel 1, Bjoern Kindler 2, Rainer Pepperkok 1*

1 1Cell Biology and Cell Biophysics Programme, European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany
2 2Computer and Network Group, European Molecular Biology Laboratory (EMBL), Meyerhofstrasse 1, 69117 Heidelberg, Germany

* To whom correspondence should be addressed. E-mail: pepperko{at}embl.de.


  Abstract

Summary: We have developed a web-based tool termed "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 screenshots and plain text. A full text meta-search engine, similar to GoogleTM, allows screening of the whole proteome for current protein function and predictions in a few seconds. With Harvester it is now possible to compare and quality check different database entries and prediction algorithms on a single page. A feedback forum offers users to comment on Harvester and to report database inconsistencies.

Availability: The service is freely available to the academic community at http://harvester.embl.de


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