Article
GOR V server for protein secondary structure prediction
Bioinformatics
Document Type
Article
Disciplines
Publication Version
Accepted Manuscript
Publication Date
6-1-2005
DOI
10.1093/bioinformatics/bti408
Abstract
We have created the GOR V web server for protein secondary structure prediction. The GOR V algorithm combines information theory, Bayesian statistics and evolutionary information. In its fifth version, the GOR method reached (with the full jack-knife procedure) an accuracy of prediction Q3 of 73.5%. Although GOR V has been among the most successful methods, its online unavailability has been a deterrent to its popularity. Here, we remedy this situation by creating the GOR V server.
Copyright Owner
The Authors
Copyright Date
2005
Language
en
File Format
application/pdf
Citation Information
Taner Z. Sen, Robert L. Jernigan, Jean Garnier and Andrzej Kloczkowski. "GOR V server for protein secondary structure prediction" Bioinformatics Vol. 21 Iss. 11 (2005) p. 2787 - 2788 Available at: http://works.bepress.com/robert-jernigan/227/
This is a manuscript of an article published as Sen, Taner Z., Robert L. Jernigan, Jean Garnier, and Andrzej Kloczkowski. "GOR V server for protein secondary structure prediction." Bioinformatics 21, no. 11 (2005): 2787-2788. doi:10.1093/bioinformatics/bti408. Posted with permission.