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Bioinformatics. 2015 Jan 15;31(2):271-2. doi: 10.1093/bioinformatics/btu646. Epub 2014 Oct 1.

PFP/ESG: automated protein function prediction servers enhanced with Gene Ontology visualization tool.

Author information

1
Department of Computer Science and Department of Biological Science, Purdue University, West Lafayette, IN 47907, USA.
2
Department of Computer Science and Department of Biological Science, Purdue University, West Lafayette, IN 47907, USA Department of Computer Science and Department of Biological Science, Purdue University, West Lafayette, IN 47907, USA.

Abstract

Protein function prediction (PFP) is an automated function prediction method that predicts Gene Ontology (GO) annotations for a protein sequence using distantly related sequences and contextual associations of GO terms. Extended similarity group (ESG) is another GO prediction algorithm that makes predictions based on iterative sequence database searches. Here, we provide interactive web servers for the PFP and ESG algorithms that are equipped with an effective visualization of the GO predictions in a hierarchical topology.

AVAILABILITY:

PFP/ESG servers are freely available at http://kiharalab.org/web/pfp.php and http://kiharalab.org/web/esg.php, or access both at http://kiharalab.org/pfp_esg.php.

SUPPLEMENTARY INFORMATION:

Supplementary data are available at Bioinformatics online.

PMID:
25273111
PMCID:
PMC4287954
DOI:
10.1093/bioinformatics/btu646
[Indexed for MEDLINE]
Free PMC Article

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