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 |
| Tools |
