'Harvester': a fast meta search engine of human protein resources.
CONCLUSIONS
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.


BACKGROUND
The service is freely available to the academic community at http://harvester.embl.de.
Liebel
Urban
U
Cell Biology and Cell Biophysics Programme, European Molecular Biology Laboratory, Heidelberg, Germany.
Kindler
Bjoern
B
Pepperkok
Rainer
R
D003628:Database Management Systems; D030562:Databases, Protein; D004282:Documentation / Q000379:methods; D006801:Humans; D016247:Information Storage and Retrieval / Q000379:methods*; D020407:Internet; D009323:Natural Language Processing; D011506:Proteins / Q000737:chemistry* / Q000145:classification; D012984:Software; D018511:Systems Integration; D014584:User-Computer Interface
D011506:Proteins