Improving protein function prediction methods with integrated literature data

doi:10.1186/1471-2105-9-198

BMC Bioinformatics
Volume 9

Viewing options:

Abstract
Full text
PDF (746KB)
Additional files

Associated material:

Related literature:

Articles citing this article
on BioMed Central
on Google Scholar
on ISI Web of Science
on PubMed Central
Other articles by authors
on Google Scholar

Gabow AP
Leach SM
Baumgartner WA
Hunter LE
Goldberg DS

on PubMed

Gabow AP
Leach SM
Baumgartner WA
Hunter LE
Goldberg DS
Related articles/pages
on Google

on Google Scholar

on PubMed

Tools:

Post to:

Research article

Improving protein function prediction methods with integrated literature data

Aaron P Gabow¹ , Sonia M Leach¹^,3 , William A Baumgartner¹ , Lawrence E Hunter¹^,2 and Debra S Goldberg¹^,2

¹Department of Pharmacology, University of Colorado at Denver and Health Sciences Center, MS 8303, RC-1 South, 12801 East 17th Avenue, L18-6101, PO Box 6511, Aurora, CO 80045, USA

²Department of Computer Science, University of Colorado at Boulder, Boulder, CO 80309, USA

³Department of Electrical Engineering (ESAT), Research Division SCD, Katholieke Universiteit Leuven, B-3001 Leuven, Belgium

author email corresponding author email

BMC Bioinformatics 2008, 9:198doi:10.1186/1471-2105-9-198


Published:	15 April 2008

Additional files

Additional file 1:

Yeast co-occurrence graph where ACF is greater than .9. The complete PPI and co-occurrence network using ACF scoring at the highest threshold. Nodes correspond to yeast proteins and are colored by GO SLIM categories such that white nodes indicate Unknown Function. Edges between nodes x and y indicate ACF(x, y) > 0.9. Note that at this threshold, large clusters of like color indicate protein families.

Format: PDF Size: 160KB Download file

This file can be viewed with: Adobe Acrobat Reader

Additional file 2:

Worm co-occurrence graph where ACF is greater than .9. The complete PPI and co-occurrence network using ACF scoring at the highest threshold. Nodes correspond to yeast proteins and are colored by GO SLIM categories such that white nodes indicate Unknown Function. Edges between nodes x and y indicate ACF(x, y) > 0.9. Note that at this threshold, large clusters of like color indicate protein families.

Format: PDF Size: 66KB Download file

This file can be viewed with: Adobe Acrobat Reader

Additional file 3:

Fly co-occurrence graph where ACF is greater than .9. The complete PPI and co-occurrence network using ACF scoring at the highest threshold. Nodes correspond to yeast proteins and are colored by GO SLIM categories such that white nodes indicate Unknown Function. Edges between nodes x and y indicate ACF(x, y) > 0.9. Note that at this threshold, large clusters of like color indicate protein families.

Format: PDF Size: 60KB Download file

This file can be viewed with: Adobe Acrobat Reader