<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>21(2)</volume><submitter>Sha CM</submitter><pubmed_abstract>Sepsis is a life-threatening state of disseminated infection, and treatment requires knowledge of the organism responsible. The gold standard for sepsis diagnosis is blood culture, which requires days of growth. Next-generation sequencing has been proposed as an alternative; however, existing methods may lack sensitivity. In this work, we explore the idea of genomic quasi-G-primes, which are short DNA sequences specific to a single species within a group of relevant species. We first validated the genomic quasi-G-prime classification in controlled Staphylococcus aureus sequencing experiments, and then applied the same approach to blood-derived sequencing data from septic and healthy patients, where genomic quasi-G-prime profiles distinguished disease states. Our method is highly space-effi</pubmed_abstract><journal>PloS one</journal><pagination>e0341828</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC12880686</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>Doing more with less: Genomic quasi-G-primes differentiate septic from healthy patients.</pubmed_title><pmcid>PMC12880686</pmcid><pubmed_authors>Patsakis M</pubmed_authors><pubmed_authors>Chung T</pubmed_authors><pubmed_authors>Sha CM</pubmed_authors><pubmed_authors>Mouratidis I</pubmed_authors><pubmed_authors>Kovac J</pubmed_authors><pubmed_authors>Wei X</pubmed_authors><pubmed_authors>Georgakopoulos-Soares I</pubmed_authors></additional><is_claimable>false</is_claimable><name>Doing more with less: Genomic quasi-G-primes differentiate septic from healthy patients.</name><description>Sepsis is a life-threatening state of disseminated infection, and treatment requires knowledge of the organism responsible. The gold standard for sepsis diagnosis is blood culture, which requires days of growth. Next-generation sequencing has been proposed as an alternative; however, existing methods may lack sensitivity. In this work, we explore the idea of genomic quasi-G-primes, which are short DNA sequences specific to a single species within a group of relevant species. We first validated the genomic quasi-G-prime classification in controlled Staphylococcus aureus sequencing experiments, and then applied the same approach to blood-derived sequencing data from septic and healthy patients, where genomic quasi-G-prime profiles distinguished disease states. Our method is highly space-effi</description><dates><release>2026-01-01T00:00:00Z</release><publication>2026</publication><modification>2026-07-15T06:15:08.104Z</modification><creation>2026-06-30T03:21:24.44Z</creation></dates><accession>S-EPMC12880686</accession><cross_references><pubmed>41650123</pubmed><doi>10.1371/journal.pone.0341828</doi></cross_references></HashMap>