{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Guo B"],"funding":["U.S. National Institutes of Health"],"pagination":["110"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC12922355"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["25(1)"],"pubmed_abstract":["<h4>Background</h4>Identity-by-descent (IBD), which describes recent genetic co-ancestry between pairs of genomes, is a fundamental concept in population genomics. It has been used to estimate genetic relatedness, detect selection signals, and understand population demography. The IBD detection method hmmIBD demonstrates high accuracy in inferring IBD segments between haploid genomes, including Plasmodium falciparum, and is widely used in malaria genomic surveillance. However, the current single-threaded implementation of hmmIBD does not utilize the full capacity of multi-processor computers, making it difficult to apply to large data sets, and does not accommodate non-uniform recombination rates across the genome.<h4>Methods</h4>We developed an enhanced implementation of hmmIBD, named hmm"],"journal":["Malaria journal"],"pubmed_title":["hmmibd-rs: an enhanced hmmIBD implementation for parallelizable identity-by-descent detection from large-scale Plasmodium genomic data."],"pmcid":["PMC12922355"],"funding_grant_id":["1R01AI145852"],"pubmed_authors":["Schaffner SF","O'Connor TD","Takala-Harrison S","Taylor AR","Guo B"],"additional_accession":[]},"is_claimable":false,"name":"hmmibd-rs: an enhanced hmmIBD implementation for parallelizable identity-by-descent detection from large-scale Plasmodium genomic data.","description":"<h4>Background</h4>Identity-by-descent (IBD), which describes recent genetic co-ancestry between pairs of genomes, is a fundamental concept in population genomics. It has been used to estimate genetic relatedness, detect selection signals, and understand population demography. The IBD detection method hmmIBD demonstrates high accuracy in inferring IBD segments between haploid genomes, including Plasmodium falciparum, and is widely used in malaria genomic surveillance. However, the current single-threaded implementation of hmmIBD does not utilize the full capacity of multi-processor computers, making it difficult to apply to large data sets, and does not accommodate non-uniform recombination rates across the genome.<h4>Methods</h4>We developed an enhanced implementation of hmmIBD, named hmm","dates":{"release":"2026-01-01T00:00:00Z","publication":"2026 Feb","modification":"2026-07-16T13:04:37.149Z","creation":"2026-07-09T10:57:01.822Z"},"accession":"S-EPMC12922355","cross_references":{"pubmed":["41664198"],"doi":["10.1186/s12936-026-05814-2"]}}