PANDA – Protein Function Prediction Using Domain Architecture and Affinity Propagation on the GO Graph

PANDA

:: DESCRIPTION

PANDA (Propagation of Affinity and Domain Architecture) is a web server to predict protein functions in the format of Gene Ontology (GO) terms.

::DEVELOPER

Z. WANG LAB

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

 NO

:: MORE INFORMATION

Citation

Wang Z, Zhao C, Wang Y, Sun Z, Wang N.
PANDA: Protein function prediction using domain architecture and affinity propagation.
Sci Rep. 2018 Feb 22;8(1):3484. doi: 10.1038/s41598-018-21849-1. PMID: 29472600; PMCID: PMC5823857.

WebPropagate – Web Server for Network Propagation

WebPropagate

:: DESCRIPTION

WebPropagate is a web-server that implements variants of network propagation on up-to-date PPI networks. Starting from a seed set of proteins that are known to be associated with a process of interest, WebPropagate outputs additional candidate proteins that are significantly associated with the seed set.

::DEVELOPER

Prof. Roded Sharan

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Web browser

:: DOWNLOAD

NO

:: MORE INFORMATION

Citation

WebPropagate: A Web Server for Network Propagation.
Biran H, Almozlino T, Kupiec M, Sharan R.
J Mol Biol. 2018 Jul 20;430(15):2231-2236. doi: 10.1016/j.jmb.2018.02.025.

PRINCIPLE 1.0 – Associating Genes with Diseases via Network Propagation

PRINCIPLE 1.0

:: DESCRIPTION

PRINCE (PRIoritizatioN and Complex Elucidation) is a method for prioritizing disease associated genes.PRINCIPLE (PRINCe ImPLEmentation) is a client-server implementation of PRINCE

::DEVELOPER

Prof. Roded Sharan

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 PRINCIPLE

:: MORE INFORMATION

Citation

Bioinformatics. 2011 Dec 1;27(23):3325-6. doi: 10.1093/bioinformatics/btr584. Epub 2011 Oct 20.
PRINCIPLE: a tool for associating genes with diseases via network propagation.
Gottlieb A1, Magger O, Berman I, Ruppin E, Sharan R.

APCluster 1.4.8 – Affinity Propagation Clustering

APCluster 1.4.8

:: DESCRIPTION

The apcluster package implements Frey’s and Dueck’s Affinity Propagation clustering in R. The algorithms are largely analogous to the Matlab code published by Frey and Dueck. The package further provides an algorithm for exemplar-based agglomerative clustering that can also be used to join clusters obtained from affinity propagation. Various plotting functions are available for analyzing clustering results

::DEVELOPER

Institute of Bioinformatics, Johannes Kepler University Linz

:: SCREENSHOTS

N/A

:: REQUIREMENTS

:: DOWNLOAD

 APCluster for R

:: MORE INFORMATION

Citation

U. Bodenhofer, A. Kothmeier, and S. Hochreiter (2011).
APCluster: an R package for affinity propagation clustering.
Bioinformatics 27:2463-2464

FunCProp – Function Computational Propagation

FunCProp

:: DESCRIPTION

The FunCProp project applies novel label propagation techniques to many different types of gene and protein data in order to predict protein function via Gene Ontology annotations.

::DEVELOPER

the Bonneau Lab

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux / Windows / MacOsX
  • Matlab

:: DOWNLOAD

 FunCProp

:: MORE INFORMATION

Citation

Bioinformatics. 2013 May 1;29(9):1190-8. doi: 10.1093/bioinformatics/btt110. Epub 2013 Mar 19.
Parametric Bayesian priors and better choice of negative examples improve protein function prediction.
Youngs N, Penfold-Brown D, Drew K, Shasha D, Bonneau R.

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