Evaluating de Novo Assembly and Binning Strategies for Time Series Drinking Water Metagenomes.

ABSTRACT: Reconstructing microbial genomes from metagenomic short-read data can be challenging due to the unknown and uneven complexity of microbial communities. This complexity encompasses highly diverse populations, which often includes strain variants. Reconstructing high-quality genomes is a crucial part of the metagenomic workflow, as subsequent ecological and metabolic inferences depend on their accuracy, quality, and completeness. In contrast to microbial communities in other ecosystems, there has been no systematic assessment of genome-centric metagenomic workflows for drinking water microbiomes. In this study, we assessed the performance of a combination of assembly and binning strategies for time series drinking water metagenomes that were collected over 6 months. The goal of this study wa

SUBMITTER: Vosloo S 

PROVIDER: S-EPMC8567270 | biostudies-literature | 2021 Dec

REPOSITORIES: biostudies-literature