Evidence map›Paper›PMID 40630530›Full record

ArticleResearch square2025

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

Bing Guo, Stephen F Schaffner, Aimee R Taylor, Timothy D O'Connor, Shannon Takala-Harrison

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In one paragraph

Article in Research square, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Bing GuoUniversity of Maryland School of Medicine.
Stephen F SchaffnerBroad Institute of MIT and Harvard.
Aimee R TaylorInstitut Pasteur, Université Paris Cité.
Timothy D O'ConnorUniversity of Maryland School of Medicine.
Shannon Takala-HarrisonUniversity of Maryland School of Medicine.

Funding

Genomic and geospatial analyses of malaria parasite migration to inform eliminationR01AI145852 · NIAID · UNIVERSITY OF MARYLAND BALTIMORE · PI HARRISON, SHANNON TAKALA, O'CONNOR, TIMOTHY DAVID · 2020 to 2024
$3.7M
NIAID NIH HHS R01 AI145852Wellcome Trust
6 · The paper itself

Abstract

Background: 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 Methods: We developed an enhanced implementation of Results: Our new implementation significantly reduces IBD detection computation time nearly linearly with the increased number of CPU threads used; using 128 threads shortens IBD detection time from 5.2 days to 1.3 hours for 220 million pairs of simulated Conclusion:

Indexed as

Hidden Markov ModelIdentity-By-DescentParallelizationPlasmodiumPopulation GenomicsRecombination Rate Map

Identifiers

PMID40630530
PMCPMC12236896

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.