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Detalle de: Key variables affecting genetic distance calculations in genomic epidemiology

Title Key variables affecting genetic distance calculations in genomic epidemiology
Abstract

The benefits of using whole-genome sequencing for outbreak detection and surveillance of bacterial pathogens have been well documented in recent years.1,2 However, the bioinformatics methods used to analyse and interpret genomic data need to be standardised and validated if genomic epidemiology is to be widely implemented and routinely used in public health investigations. This means that genome analysis methods should yield robust, reproducible and generalisable results regardless of the geographical origin, laboratory, or bacterial population of study.

Apa Reference Coll, F. (2021). Key variables affecting genetic distance calculations in genomic epidemiology. The Lancet Microbe, 2(10), e486–e487. 10.1016/s2666-5247(21)00183-x
Doi 10.1016/s2666-5247(21)00183-x
Publication Date Oct 2021
Publication Type Article
Researcher Francesc Coll I Cerezo
Ontology Genomics, Genome Sequencing
Research Groups Applied Microbial Genomics
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