Evidente

Evidente integrates phylogenetic trees with genome-wide single-nucleotide polymorphism (SNP) data, sample metadata, and Gene Ontology (GO) enrichment to support interpretation of pathogen evolutionary relationships and functional genomic variation.


Key Features:

  • SNP classification: Classifies SNPs into supporting and non-supporting categories relative to tree structures and maps their distribution across samples and clades.
  • Phylogeny–SNP integration: Integrates phylogenetic trees with genome-wide SNP datasets and sample metadata to link genetic variation to clade structure.
  • Metadata integration: Incorporates phenotypic and contextual sample metadata to connect genomic variants with sample attributes.
  • GO-term enrichment analysis: Identifies over-represented genomic features encoded by Gene Ontology (GO) terms within specific clades of the phylogenetic tree.

Scientific Applications:

  • Pathogen genomics: Applied to analyses of pathogens, including Treponema pallidum and Mycobacterium leprae, to explore evolutionary histories and genetic diversity.
  • SNP-based phylogenetics: Applicable to any organism where SNP-based phylogenetic analysis is used to investigate lineage structure and variant distribution.

Methodology:

Integration of phylogenetic trees with comprehensive SNP datasets and sample metadata; classification of SNPs into supporting versus non-supporting relative to tree structures; and enrichment analysis to detect GO-term–encoded features over-represented within specific clades.

Topics

Details

Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Added:
11/7/2023
Last Updated:
11/24/2024

Operations

Publications

Witte Paz M, Harbig TA, Nieselt K. Evidente—a visual analytics tool for data enrichment in SNP-based phylogenetic trees. Bioinformatics Advances. 2022;2(1). doi:10.1093/bioadv/vbac075. PMID:36699377. PMCID:PMC9710622.

PMID: 36699377
PMCID: PMC9710622
Funding: - Controlling Microbes to Fight Infections: 390838134 - Deutsche Forschungsgemeinschaft: 398967434