<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Qu EB</submitter><funding>National Science Foundation Graduate Research Fellowship Program</funding><funding>National Institutes of Health Office of the Director</funding><funding>National Institutes of Health</funding><funding>NIGMS NIH HHS</funding><funding>DSM</funding><funding>National Science Foundation</funding><pagination>116134</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12452263</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>44(8)</volume><pubmed_abstract>Genetically distinct strains of a species can vary widely in phenotype, reducing the utility of species-resolved microbiome measurements for detecting associations with health or disease. While metagenomics theoretically provides information on all strains in a sample, current strain-resolved analysis methods face a tradeoff: de novo genotyping approaches can detect novel strains but struggle when applied to strain-rich or low-coverage samples, while reference database methods work robustly across sample types but are insensitive to novel diversity. We present PHLAME, a method that bridges this divide by combining the advantages of reference database approaches with novelty awareness. PHLAME explicitly defines clades at multiple phylogenetic levels and introduces a probabilistic, mutation-</pubmed_abstract><journal>Cell reports</journal><pubmed_title>Intraspecies associations from strain-rich metagenome samples.</pubmed_title><pmcid>PMC12452263</pmcid><funding_grant_id>R35 GM156282</funding_grant_id><funding_grant_id>1DP2GM140922</funding_grant_id><funding_grant_id>R35GM156282</funding_grant_id><funding_grant_id>DP2 GM140922</funding_grant_id><pubmed_authors>Mancuso C</pubmed_authors><pubmed_authors>Lieberman TD</pubmed_authors><pubmed_authors>Qu EB</pubmed_authors><pubmed_authors>Baker JS</pubmed_authors><pubmed_authors>Khadka V</pubmed_authors><pubmed_authors>Tripp AD</pubmed_authors><pubmed_authors>Markey L</pubmed_authors></additional><is_claimable>false</is_claimable><name>Intraspecies associations from strain-rich metagenome samples.</name><description>Genetically distinct strains of a species can vary widely in phenotype, reducing the utility of species-resolved microbiome measurements for detecting associations with health or disease. While metagenomics theoretically provides information on all strains in a sample, current strain-resolved analysis methods face a tradeoff: de novo genotyping approaches can detect novel strains but struggle when applied to strain-rich or low-coverage samples, while reference database methods work robustly across sample types but are insensitive to novel diversity. We present PHLAME, a method that bridges this divide by combining the advantages of reference database approaches with novelty awareness. PHLAME explicitly defines clades at multiple phylogenetic levels and introduces a probabilistic, mutation-</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Aug</publication><modification>2026-06-03T19:31:47.182Z</modification><creation>2026-04-30T03:12:08.97Z</creation></dates><accession>S-EPMC12452263</accession><cross_references><pubmed>40811063</pubmed><doi>10.1016/j.celrep.2025.116134</doi></cross_references></HashMap>