'Harvester': a fast meta search engine of human protein resources
Urban Liebel1, Bjoern Kindler, Rainer Pepperkok
1Cell Biology and Cell Biophysics Programme, European Molecular Biology Laboratory, Heidelberg, Germany.
Summary:
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.
Availability:
The service is freely available to the academic community at http://harvester.embl.de.
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