May 272014
 

PredictPA

:: DESCRIPTION

PredictPA is a Bayesian network model that integrates genomic, transcriptomic and proteomic data to predict protein abundance. Specifically, by using expression, sequence and interaction data, we effectively link transcriptional information with post-transcriptional and protein translational data.

::DEVELOPER

Bioinformatics group, The University of Queensland

:: SCREENSHOTS

N/A

:: REQUIREMENTS

  • Linux/MacOsX/Windows
  • MatLab

:: DOWNLOAD

  PredictPA

:: MORE INFORMATION

Citation

Ahmed M. Mehdi, Ralph Patrick, Timothy L. Bailey and Mikael Boden (2014),
Predicting the Dynamics of Protein Abundance“,
Molecular and Cellular Proteomics. 13(5): 1330-1340.

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