SUBAcon

SUBAcon (SUBAcellular Arabidopsis consensus) is a naive Bayes classifier algorithm that integrates 22 computational prediction algorithms, experimental GFP and MS localizations, protein-protein interaction and co-expression data to derive a consensus call and probability for subcellular location of proteins in Arabidopsis. It classifies protein location more accurately than single predictors and is available in the SUBA3 database.

Topic

Statistics and probability;Protein interactions;Molecular interactions, pathways and networks

Detail

  • Operation: Sequence classification

  • Software interface: Library

  • Language: Python

  • License: -

  • Cost: Free

  • Version name: -

  • Credit: Australian Research Council, the Government of Western Australia through funding for the WA Centre of Excellence for Computational Systems Biology.

  • Input: -

  • Output: -

  • Contact: sandra.tanz@uwa.edu.au;ian.castleden@uwa.edu.au;harvey.millar@uwa.edu.au

  • Collection: -

  • Maturity: -

Publications

  • SUBAcon: a consensus algorithm for unifying the subcellular localization data of the Arabidopsis proteome.
  • Hooper CM, et al. SUBAcon: a consensus algorithm for unifying the subcellular localization data of the Arabidopsis proteome. SUBAcon: a consensus algorithm for unifying the subcellular localization data of the Arabidopsis proteome. 2014; 30:3356-64. doi: 10.1093/bioinformatics/btu550
  • https://doi.org/10.1093/bioinformatics/btu550
  • PMID: 25150248
  • PMC: -

Download and documentation

    Currently not available or not maintained.

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