Mining whole genome sequence data to efficiently attribute individuals to source populations.
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ABSTRACT:
SUBMITTER: Perez-Reche FJ
PROVIDER: S-EPMC7376179 | biostudies-literature | 2020 Jul
REPOSITORIES: biostudies-literature
Publications
Mining whole genome sequence data to efficiently attribute individuals to source populations.
Pérez-Reche Francisco J FJ Rotariu Ovidiu O Lopes Bruno S BS Forbes Ken J KJ Strachan Norval J C NJC
Scientific reports 20200722 1
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, the geographical origin of diverse biological species including humans and proteomic ...[more]
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