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Article

Mining whole genome sequence data to efficiently attribute individuals to source populations.

Scientific reports - 22 Jul 2020

Pérez-Reche Francisco J, Rotariu Ovidiu, Lopes Bruno S, Forbes Ken J, Strachan Norval J C

Abstract excerpt

Whole genome sequence (WGS) data could transform our ability to attribute individuals to source populations. However, methods that efficiently mine these data are yet to be developed. We present a minimal multilocus distance (MMD) method which rapidly deals with these large data sets as well as methods for optimally selecting loci. This was applied on WGS data to determine the source of human campylobacteriosis,...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 32699222
DOI: 10.1038/s41598-020-68740-6
PMCID: PMC7376179

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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