Computational workflow for the fine-grained analysis of metagenomic samples.

ABSTRACT:

Background

The field of metagenomics, defined as the direct genetic analysis of uncultured samples of genomes contained within an environmental sample, is gaining increasing popularity. The aim of studies of metagenomics is to determine the species present in an environmental community and identify changes in the abundance of species under different conditions. Current metagenomic analysis software faces bottlenecks due to the high computational load required to analyze complex samples.

Results

A computational open-source workflow has been developed for the detailed analysis of metagenomes. This workflow provides new tools and datafile specifications that facilitate the identification of differences in abundance of reads assigned to taxa (mapping), enables the detection of r

SUBMITTER: Perez-Wohlfeil E 

PROVIDER: S-EPMC5088524 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature