Characterization of microbial dark matter at scale with MetaSBT and taxonomy-aware Sequence Bloom Trees.

ABSTRACT: Metagenomics has become a powerful tool for studying microbial communities, allowing researchers to investigate microbial diversity within complex environmental samples. Recent advances in sequencing technology have enabled the recovery of near-complete microbial genomes directly from metagenomic samples, also known as metagenome-assembled genomes (MAGs). However, accurately characterizing these genomes remains a significant challenge due to the presence of sequencing errors, incomplete assembly, and contamination. Here we present MetaSBT, a new tool for organizing, indexing, and characterizing microbial reference genomes and MAGs. It is able to identify clusters of genomes at all seven taxonomic levels, from the kingdom all the way down to the species level, using the Sequence Bloom Tree

SUBMITTER: Cumbo F 

PROVIDER: S-EPMC12407952 | biostudies-literature | 2025 Aug

REPOSITORIES: biostudies-literature