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PANDA (Passing Attributes between Networks for Data Assimilation), is a message-passing model to gene regulatory network reconstruction. PANDA integrates multiple sources of biological data, including protein-protein interaction, gene expression, and sequence motif information, in order to reconstruct genome-wide, condition-specific regulatory networks.
PANDA is also available in other programming languages, including:
MATLAB/Octave:
(1) https://drive.google.com/a/channing.harvard.edu/file/d/0BwVdzX3nIj6RamtmNVdKYVk1N2c/view?usp=sharing
(2) https://github.com/QuackenbushLab/matlab-panda
Python:
(1) https://github.com/davidvi/pypanda
(2) https://github.com/QuackenbushLab/pypanda
Bioconductor/R:
http://www.bioconductor.org/packages/devel/bioc/html/pandaR.html
For more information please see: https://sites.google.com/a/channing.harvard.edu/kimberlyglass/tools/panda or email kimberly dot glass at channing dot harvard dot edu
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