GPLEXUS: enabling genome-scale gene association network reconstruction and analysis for very large-scale expression data.

ABSTRACT: The accurate construction and interpretation of gene association networks (GANs) is challenging, but crucial, to the understanding of gene function, interaction and cellular behavior at the genome level. Most current state-of-the-art computational methods for genome-wide GAN reconstruction require high-performance computational resources. However, even high-performance computing cannot fully address the complexity involved with constructing GANs from very large-scale expression profile datasets, especially for the organisms with medium to large size of genomes, such as those of most plant species. Here, we present a new approach, GPLEXUS (http://plantgrn.noble.org/GPLEXUS/), which integrates a series of novel algorithms in a parallel-computing environment to construct and analyze genome-wi

SUBMITTER: Li J 

PROVIDER: S-EPMC3950724 | biostudies-literature | 2014 Mar

REPOSITORIES: biostudies-literature