SubNet: a Java application for subnetwork extraction.
CONCLUSIONS
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.


BACKGROUND
http://www.zdzlab.org/1/subnet.html
Department of Genetics, Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA.
Christophe
C
Lemetre
Department of Genetics, Albert Einstein College of Medicine, 1301 Morris Park Avenue, Bronx, NY 10461, USA.
Quanwei
Q
Zhang
Zhengdong D
ZD
Zhang
D000465:Algorithms; D004247:DNA / Q000235:genetics / Q000378:metabolism; D004249:DNA Damage; D030562:Databases, Protein; D006801:Humans; D020407:Internet; D011506:Proteins / Q000737:chemistry / Q000235:genetics / Q000378:metabolism; D012985:Software Design
D011506:Proteins; D004247:DNA