Unknown

Dataset Information

0

OutbreakFinder: a visualization tool for rapid detection of bacterial strain clusters based on optimized multidimensional scaling.


ABSTRACT: With the evolution of next generation sequencing (NGS) technologies, whole-genome sequencing of bacterial isolates is increasingly employed to investigate epidemiology. Phylogenetic analysis is the common method for using NGS data, usually for comparing closeness between bacterial isolates to detect probable outbreaks. However, interpreting a phylogenetic tree is not easy without training in evolutionary biology. Therefore, developing an easy-to-use tool that can assist people who wish to use a phylogenetic tree to investigate epidemiological relatedness is crucial. In this paper, we present a tool called OutbreakFinder that can accept a distance matrix in csv format; alignment files from Lyve-SET, Parsnp, and ClustalOmega; and a tree file in Newick format as inputs to compute a cluster-labeled two-dimensional plot based on multidimensional-scaling dimension reduction coupled with affinity propagation clustering. OutbreakFinder can be downloaded for free at https://github.com/skypes/Newton-method-MDS.

SUBMITTER: Tsai MH 

PROVIDER: S-EPMC6717506 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature

altmetric image

Publications

OutbreakFinder: a visualization tool for rapid detection of bacterial strain clusters based on optimized multidimensional scaling.

Tsai Ming-Hsin MH   Liu Yen-Yi YY   Chen Chih-Chieh CC  

PeerJ 20190828


With the evolution of next generation sequencing (NGS) technologies, whole-genome sequencing of bacterial isolates is increasingly employed to investigate epidemiology. Phylogenetic analysis is the common method for using NGS data, usually for comparing closeness between bacterial isolates to detect probable outbreaks. However, interpreting a phylogenetic tree is not easy without training in evolutionary biology. Therefore, developing an easy-to-use tool that can assist people who wish to use a  ...[more]

Similar Datasets

| S-EPMC9710679 | biostudies-literature
| S-EPMC6498510 | biostudies-literature
| S-EPMC416473 | biostudies-literature
| S-EPMC4680887 | biostudies-literature
| S-EPMC3555222 | biostudies-literature
| S-EPMC3831466 | biostudies-other
| S-EPMC8759365 | biostudies-literature
| S-EPMC10247536 | biostudies-literature
| S-EPMC6008673 | biostudies-literature
| S-EPMC3348018 | biostudies-literature