Metagenomic annotation networks: construction and applications.

ABSTRACT: The derivation and comparison of biological interaction networks are vital for understanding the functional capacity and hierarchical organization of integrated microbial communities. In the current work we present metagenomic annotation networks as a novel taxonomy-free approach for understanding the functional architecture of metagenomes. Specifically, metagenomic operon predictions are exploited to derive functional interactions that are translated and categorized according to their associated functional annotations. The result is a collection of discrete networks of weighted annotation linkages. These networks are subsequently examined for the occurrence of annotation modules that portray the functional and organizational characteristics of various microbial communities. A variety of n

SUBMITTER: Vey G 

PROVIDER: S-EPMC3413691 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature