GIBA: a clustering tool for detecting protein complexes.

ABSTRACT:

Background

During the last years, high throughput experimental methods have been developed which generate large datasets of protein - protein interactions (PPIs). However, due to the experimental methodologies these datasets contain errors mainly in terms of false positive data sets and reducing therefore the quality of any derived information. Typically these datasets can be modeled as graphs, where vertices represent proteins and edges the pairwise PPIs, making it easy to apply automated clustering methods to detect protein complexes or other biological significant functional groupings.

Methods

In this paper, a clustering tool, called GIBA (named by the first characters of its developers' nicknames), is presented. GIBA implements a two step procedure to a given dataset of

SUBMITTER: Moschopoulos CN 

PROVIDER: S-EPMC2697634 | biostudies-literature | 2009 Jun

REPOSITORIES: biostudies-literature