PhyTB
PhyTB enables phylogenetic analysis and visualization of Mycobacterium tuberculosis genomes to identify clade-informative polymorphisms and relate genomic variation to geographic and epidemiological context.
Key Features:
- Phylogenetic Tree Visualization: Visualizes phylogenetic trees to explore intra- and inter-strain diversity in Mycobacterium tuberculosis.
- Sample Positioning (VCF): Accepts Variant Call Format (VCF) files to determine sample placement within the phylogeny and identify clade-informative polymorphisms.
- Geographical Mapping: Summarizes the geographical distribution of alleles and strain types to correlate genetic variation with spatial epidemiological data.
- Clade-Informative Polymorphism Identification: Identifies clade-informative polymorphisms within M. tuberculosis genomes to aid strain classification and lineage inference.
- Integration with Epidemiological Data: Contextualizes genomic variation with epidemiological data to relate genetic differences to transmission dynamics.
- Extensibility for Other Organisms: Can be adapted to phylogenetic studies of other organisms via modification of the source code.
Scientific Applications:
- Strain Classification: Supports classification and molecular barcoding of M. tuberculosis strains using phylogenetic placement and clade-informative polymorphisms.
- Outbreak Investigation: Supports investigation of disease outbreaks and transmission pathways by combining phylogenetic relationships with geographic distribution data.
- Genotype-Phenotype Associations: Enables assessment of associations between genetic variants and phenotypic traits, including drug-resistance profiles, when phenotypic data are available.
Methodology:
Uses whole genome sequencing data to construct phylogenetic trees and identify genomic variations; accepts VCF files for sample placement; combines genetic information with geographical mapping.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- JavaScript
- Added:
- 5/9/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Benavente ED, Coll F, Furnham N, McNerney R, Glynn JR, Campino S, Pain A, Mohareb FR, Clark TG. PhyTB: Phylogenetic tree visualisation and sample positioning for M. tuberculosis. BMC Bioinformatics. 2015;16(1). doi:10.1186/s12859-015-0603-3. PMID:25968323. PMCID:PMC4429496.