hmmibd-rs: an enhanced hmmIBD implementation for parallelizable identity-by-descent detection from large-scale Plasmodium genomic data

hmmibd-rs builds upon, accelerates, and enhances hmmIBD for efficient and accurate IBD detection, serving as a crucial tool for advancing large-scale malaria genomic surveillance.

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Publication Details

Journal
Malaria Journal
Published
2026-02-09
DOI
https://doi.org/10.1186/s12936-026-05814-2
Primary Topic
Malaria Research and Control
Type
article
Field-Weighted Citation Impact
0.00
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article

hmmibd-rs: an enhanced hmmIBD implementation for parallelizable identity-by-descent detection from large-scale Plasmodium genomic data

Aimee R. Taylor, Timothy D. O’Connor, Bing Guo, Stephen F. Schaffner et al.
Malaria Journal
Malaria Research and Control
article

hmmibd-rs: an enhanced hmmIBD implementation for parallelizable identity-by-descent detection from large-scale Plasmodium genomic data

Aimee R. Taylor, Timothy D. O’Connor, Bing Guo, Stephen F. Schaffner, Shannon Takala-Harrison
article en

Abstract

hmmibd-rs builds upon, accelerates, and enhances hmmIBD for efficient and accurate IBD detection, serving as a crucial tool for advancing large-scale malaria genomic surveillance.

Malaria JournalVol. 25(1)
Broad Institute (US), University of Maryland, Baltimore (US), Harvard University (US), Institut Pasteur (FR)
Good health and well-being
Openalex Percentile: Top 64%
Malaria Research and Control
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