GenRev: Exploring functional relevance of genes in molecular networks

We introduce GenRev, a network-based software package developed to explore the functional relevance of genes generated as an intermediate result from numerous high-throughput technologies. GenRev searches for optimal intermediate nodes (genes) for the connection of input nodes via several algorithms, including the Klein–Ravi algorithm, the limited kWalks algorithm and a heuristic local search algorithm. Gene ranking and graph clustering analyses are integrated into the package. GenRev has the following features. (1) It provides users with great flexibility to define their own networks. (2) Users are allowed to define each gene's importance in a subnetwork search by setting its score. (3) It is standalone and platform independent. (4) It provides an optimization in subnetwork search, which dramatically reduces the running time. GenRev is particularly designed for general use so that users have the flexibility to choose a reference network and define the score of genes. GenRev is freely available at http://bioinfo.mc.vanderbilt.edu/GenRev.html.

► A network-based software package for exploring functional relevance of genes.
► Implementation of several algorithms for subnetwork search.
► A network pruning strategy to dramatically reduce the computational time.
► A universal tool for any gene list and any reference network provided by the user.