TINGe -- Tool for Inferring Networks of Genes, is a parallel and multi-platform framework for reconstructing gene regulatory networks from large gene expression data. It uses parallel processing, information theoretic criteria and statistical testing to derive networks with thousands of genes from microarray sets with thousands of observations. TINGe has been used to reconstruct a whole-genome network of Arabidopsis thaliana from 3,546 microarray measurements, which comprises of 15,495 genes.
TINGe is (or has been) developed by Jaroslaw Zola, Maneesha Aluru and Srinivas Aluru with contributions from Abhinav Sarje and Dan Nettleton.
Please cite our paper in IEEE Transactions on Parallel and Distributed Systems and/or Nucleic Acids Research.
See doc directory for more information on how to build and run TINGe.