Evaluating techniques for metagenome annotation using simulated sequence data.

ABSTRACT: The advent of next-generation sequencing has allowed huge amounts of DNA sequence data to be produced, advancing the capabilities of microbial ecosystem studies. The current challenge is to identify from which microorganisms and genes the DNA originated. Several tools and databases are available for annotating DNA sequences. The tools, databases and parameters used can have a significant impact on the results: naïve choice of these factors can result in a false representation of community composition and function. We use a simulated metagenome to show how different parameters affect annotation accuracy by evaluating the sequence annotation performances of MEGAN, MG-RAST, One Codex and Megablast. This simulated metagenome allowed the recovery of known organism and function abundances to be

SUBMITTER: Randle-Boggis RJ 

PROVIDER: S-EPMC4892715 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature