Advanced computational algorithms for microbial community analysis using massive 16S rRNA sequence data.

ABSTRACT: With the aid of next-generation sequencing technology, researchers can now obtain millions of microbial signature sequences for diverse applications ranging from human epidemiological studies to global ocean surveys. The development of advanced computational strategies to maximally extract pertinent information from massive nucleotide data has become a major focus of the bioinformatics community. Here, we describe a novel analytical strategy including discriminant and topology analyses that enables researchers to deeply investigate the hidden world of microbial communities, far beyond basic microbial diversity estimation. We demonstrate the utility of our approach through a computational study performed on a previously published massive human gut 16S rRNA data set. The application of discr

SUBMITTER: Sun Y 

PROVIDER: S-EPMC3001099 | biostudies-literature | 2010 Dec

REPOSITORIES: biostudies-literature