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

Project Samples

Project Activity

See All Activity >

License

GNU General Public License version 2.0 (GPLv2)

Follow PANDA

PANDA Web Site

Other Useful Business Software
Build Securely on AWS with Proven Frameworks Icon
Build Securely on AWS with Proven Frameworks

Lay a foundation for success with Tested Reference Architectures developed by Fortinet’s experts. Learn more in this white paper.

Moving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
Download Now
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of PANDA!

Additional Project Details

Programming Language

C++

Registered

2012-04-12