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

Ishita Khan | Zendy; Qing Wei | Zendy; Meghana Chitale | Zendy; Daisuke Kihara | Zendy

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

Author(s) -

Ishita Khan,

Qing Wei,

Meghana Chitale,

Daisuke Kihara

Publication year - 2014

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btu646

Subject(s) - computer science , web server , visualization , server , data mining , similarity (geometry) , function (biology) , protein function prediction , ontology , sequence (biology) , information retrieval , web application , world wide web , protein function , the internet , gene , image (mathematics) , artificial intelligence , biology , biochemistry , philosophy , genetics , epistemology , evolutionary biology

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.

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