Ultrafast clustering algorithms for metagenomic sequence analysis.

ABSTRACT: The rapid advances of high-throughput sequencing technologies dramatically prompted metagenomic studies of microbial communities that exist at various environments. Fundamental questions in metagenomics include the identities, composition and dynamics of microbial populations and their functions and interactions. However, the massive quantity and the comprehensive complexity of these sequence data pose tremendous challenges in data analysis. These challenges include but are not limited to ever-increasing computational demand, biased sequence sampling, sequence errors, sequence artifacts and novel sequences. Sequence clustering methods can directly answer many of the fundamental questions by grouping similar sequences into families. In addition, clustering analysis also addresses the challe

SUBMITTER: Li W 

PROVIDER: S-EPMC3504929 | biostudies-literature | 2012 Nov

REPOSITORIES: biostudies-literature