Benchmarking viromics: an in silico evaluation of metagenome-enabled estimates of viral community composition and diversity.

ABSTRACT:

Background

Viral metagenomics (viromics) is increasingly used to obtain uncultivated viral genomes, evaluate community diversity, and assess ecological hypotheses. While viromic experimental methods are relatively mature and widely accepted by the research community, robust bioinformatics standards remain to be established. Here we used in silico mock viral communities to evaluate the viromic sequence-to-ecological-inference pipeline, including (i) read pre-processing and metagenome assembly, (ii) thresholds applied to estimate viral relative abundances based on read mapping to assembled contigs, and (iii) normalization methods applied to the matrix of viral relative abundances for alpha and beta diversity estimates.

Results

Tools specifically designed for metagenomes

SUBMITTER: Roux S 

PROVIDER: S-EPMC5610896 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature