Mining Whole Genome Sequence data to efficiently attribute individuals to source populations

Published: Feb 3, 2020
Abstract
null Whole genome sequence (WGS) data could transform our ability to attribute individuals to source populations. However, methods that effectively 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...
Paper Details
Title
Mining Whole Genome Sequence data to efficiently attribute individuals to source populations
Published Date
Feb 3, 2020
Journal
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