Quality control of microbiota metagenomics by k-mer analysis.

ABSTRACT:

Background

The biological and clinical consequences of the tight interactions between host and microbiota are rapidly being unraveled by next generation sequencing technologies and sophisticated bioinformatics, also referred to as microbiota metagenomics. The recent success of metagenomics has created a demand to rapidly apply the technology to large case-control cohort studies and to studies of microbiota from various habitats, including habitats relatively poor in microbes. It is therefore of foremost importance to enable a robust and rapid quality assessment of metagenomic data from samples that challenge present technological limits (sample numbers and size). Here we demonstrate that the distribution of overlapping k-mers of metagenome sequence data predicts sequence quality as

SUBMITTER: Plaza Onate F 

PROVIDER: S-EPMC4373121 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature