KombOver: Efficient k-core and K-truss based characterization of perturbations within the human gut microbiome.

ABSTRACT: The microbes present in the human gastrointestinal tract are regularly linked to human health and disease outcomes. Thanks to technological and methodological advances in recent years, metagenomic sequencing data, and computational methods designed to analyze metagenomic data, have contributed to improved understanding of the link between the human gut microbiome and disease. However, while numerous methods have been recently developed to extract quantitative and qualitative results from host-associated microbiome data, improved computational tools are still needed to track microbiome dynamics with short-read sequencing data. Previously we have proposed KOMB as a de novo tool for identifying copy number variations in metagenomes for characterizing microbial genome dynamics in response to p

SUBMITTER: Sapoval N 

PROVIDER: S-EPMC10764071 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature