Information Theoretic Metagenome Assembly Allows the Discovery of Disease Biomarkers in Human Microbiome.

ABSTRACT: Quantitative metagenomics is an important field that has delivered successful microbiome biomarkers associated with host phenotypes. The current convention mainly depends on unsupervised assembly of metagenomic contigs with a possibility of leaving interesting genetic material unassembled. Additionally, biomarkers are commonly defined on the differential relative abundance of compositional or functional units. Accumulating evidence supports that microbial genetic variations are as important as the differential abundance content, implying the need for novel methods accounting for the genetic variations in metagenomics studies. We propose an information theoretic metagenome assembly algorithm, discovering genomic fragments with maximal self-information, defined by the empirical distributions

SUBMITTER: Nalbantoglu OU 

PROVIDER: S-EPMC7913240 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature