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    Tool Name:  

DM_BN   Downloaded: 0   Viewed: 0
Developed By: Department of Molecular Systems Biology

    Introduction:  

Genome-wide gene expression profiles accumulate at an alarming rate, how to integrate these expression profiles generated by different laboratories to reverse engineer the cellular regulatory network has been a major challenge. To automatically infer gene regulatory pathways from genome-wide mRNA expression profiles before and after genetic perturbations, we introduced a new Bayesian network algorithm, Deletion Mutant Bayesian Network (DM_BN). We applied DM_BN to the expression profiles of 544 yeast single or double deletion mutants of transcription factors, chromatin remodeling machinery components, protein kinases and phosphatases in S. cerevisiae. The network inferred by this method identified causal regulatory and non- causal concurrent interactions among these regulators (genetically perturbed genes) that are strongly supported by the experimental evidence, and generated many new testable hypotheses. Compared to networks reconstructed by routine similarity measures or the classical Bayesian network algorithm, the network inferred by DM_BN excels in both accuracy and coverage. To facilitate its application in other systems, we packaged the algorithm into a user-friendly analysis tool.

    Downloads :  

DM_BN is developed and maintained by CAS-MPG Partner Institute for Computational Biology(PICB) ,Chinese Academy of Sciences. The software is only free of charge for non-commercial users.

    Reference:  

PLoS Genetics, 2013 (http://www.picb.ac.cn/hanlab/paper/jeli.pgen.2013.pdf)

    Contact Information:  

If you have any feedback or question concerning the tools you can further click the Project Website , or please feel free to contact us at jdhanpicb.ac.cn.