Article

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

2020-02-03

Abstract excerpt

<h4>ABSTRACT</h4> 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 ca...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: dd288bb0-0d3a-5a69-95b4-6dd7ecdd0d76
DOI: 10.1101/2020.02.03.932343

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Mining Whole Genome Sequence data to efficiently attribute individuals to source populationsDOI 10.1101/2020.02.03.932343Read

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

Machine learning to predict the source of campylobacteriosis using whole genome dataSemantic proximity Read

Machine learning to predict the source of campylobacteriosis using whole genome dataSemantic proximity Read

Genome-Wide Identification of Host-Segregating Epidemiological Markers for Source Attribution in Campylobacter jejuniSemantic proximity Read

Real-time genomic epidemiological evaluation of human Campylobacter isolates by use of whole-genome multilocus sequence typing.Semantic proximity Read

A Gene-By-Gene Approach to Bacterial Population Genomics: Whole Genome MLST of CampylobacterSemantic proximity Read

Genome-Wide Identification of Host-Segregating Single-Nucleotide Polymorphisms for Source Attribution of Clinical Campylobacter coli Isolates.Semantic proximity Read

High performance <i>Legionella pneumophila</i> source attribution using genomics-based machine learning classificationSemantic proximity Read

HierCC: A multi-level clustering scheme for population assignments based on core genome MLSTSemantic proximity Read

Comparison of Source Attribution Methodologies for Human CampylobacteriosisSemantic proximity Read

A supervised statistical learning approach for accurate <i>Legionella pneumophila</i> source attribution during outbreaksSemantic proximity Read

Genomic epidemiology of clinical Campylobacter spp. at a single health trust siteSemantic proximity Read