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

被引：28

作者：

Liebel, U

Kindler, B

Pepperkok, R

机构：

[1] European Mol Biol Lab, Cell Biol & Cell Biophys Programme, D-69117 Heidelberg, Germany

[2] European Mol Biol Lab, Comp & Network Grp, D-69117 Heidelberg, Germany

来源：

BIOINFORMATICS | 2004年 / 20卷 / 12期

关键词：

D O I：

10.1093/bioinformatics/bth146

中图分类号：

Q5 [生物化学];

学科分类号：

071010 ; 081704 ;

摘要：

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(TM), 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.

引用

页码：1962 / 1963

页数：2

共 8 条

[1] SOURCE: a unified genomic resource of functional annotations, ontologies, and gene expression data [J].