General Information
| Description | A Java application for subnetwork extraction |
| Homepage | http://www.zdzlab.org/1/subnet.html |
Publications
SubNet: a Java application for subnetwork extraction
Summary:
The extraction of targeted subnetworks is a powerful way to identify functional modules and pathways within complex networks. Here, we present SubNet, a Java-based stand-alone program for extracting subnetworks, given a basal network and a set of selected nodes. Designed with a graphical user-friendly interface, SubNet combines four different extraction methods, which offer the possibility to interrogate a biological network according to the question investigated. Of note, we developed a method based on the highly successful Google PageRank algorithm to extract the subnetwork using the node centrality metric, to which possible node weights of the selected genes can be incorporated.
Availability:
http://www.zdzlab.org/1/subnet.html
Contact:
zhengdong.zhang@einstein.yu.edu
Supplementary information:
Supplementary data are available at Bioinformatics online.
Related Tools
RESQUE
Published June 2012
Network reduction using semi-Markov random walk scores for efficient querying of biological networks
BMRF-Net
Published March 2015
A software tool for identification of protein interaction subnetworks by a bagging Markov random field-based method
APPAGATO
Published April 2016
An APproximate PArallel and stochastic GrAph querying TOol for biological networks
NCMine
Published July 2016
Core-peripheral based functional module detection using near-clique mining
FAIR Evaluation
Sorry, you must be signed in to evaluate this object.
