{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"volume":["21(2)"],"submitter":["Sha CM"],"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"],"journal":["PloS one"],"pagination":["e0341828"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12880686"],"repository":["biostudies-literature"],"pubmed_title":["Doing more with less: Genomic quasi-G-primes differentiate septic from healthy patients."],"pmcid":["PMC12880686"],"pubmed_authors":["Patsakis M","Chung T","Sha CM","Mouratidis I","Kovac J","Wei X","Georgakopoulos-Soares I"],"additional_accession":[]},"is_claimable":false,"name":"Doing more with less: Genomic quasi-G-primes differentiate septic from healthy patients.","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","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026","modification":"2026-07-15T06:15:08.104Z","creation":"2026-06-30T03:21:24.44Z"},"accession":"S-EPMC12880686","cross_references":{"pubmed":["41650123"],"doi":["10.1371/journal.pone.0341828"]}}