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

Journal: Bioinformatics (Oxford, England)
Published Date: Oct 1, 2014

Abstract

UNLABELLED: 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.

Authors

  • Ishita K Khan
    Department of Computer Science and Department of Biological Science, Purdue University, West Lafayette, IN 47907, USA.
  • Qing Wei
    Department of Computer Science and Department of Biological Science, Purdue University, West Lafayette, IN 47907, USA.
  • Meghana Chitale
    Department of Computer Science and Department of Biological Science, Purdue University, West Lafayette, IN 47907, USA.
  • Daisuke Kihara
    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.

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