VCFtoTree

VCFtoTree constructs locus-specific sequence alignments and phylogenies from genome variation datasets to support evolutionary and anthropological analyses.


Key Features:

  • Locus-specific alignments and phylogenies: Constructs alignments and phylogenetic trees for specified genomic loci.
  • Integration with major datasets: Supports genomes from the 1000 Genomes Project, Neanderthal and Denisovan genomes, and reference genomes of Chimpanzee and Rhesus Macaque.
  • Algorithmic integration: Combines established sequence datasets and tree-building algorithms with custom data parsing techniques.
  • Versatility across species: Applicable to phased human genomes and genomes from various species.
  • Output formats: Produces alignments in FASTA format and phylogenetic trees in Newick format.

Scientific Applications:

  • Evolutionary biology: Reconstructs evolutionary relationships among individuals, populations, and species.
  • Anthropological genomics: Analyzes anthropologically relevant genomes, including ancient Neanderthal and Denisovan samples.
  • Ancient genome analysis: Enables comparative analysis of ancient and modern genomes to examine genetic variation and relationships.
  • Population and migration studies: Supports investigation of human evolution and migration patterns using locus-specific phylogenies.

Methodology:

Direct retrieval of genome variation data from online databases for regions of interest; integration of that data with established sequence datasets and tree-building algorithms; and custom data parsing to produce locus-specific alignments and phylogenetic reconstructions.

Topics

Details

Tool Type:
desktop application
Operating Systems:
Mac
Programming Languages:
Python
Added:
7/26/2018
Last Updated:
12/10/2018

Operations

Publications

Xu D, Jaber Y, Pavlidis P, Gokcumen O. VCFtoTree: a user-friendly tool to construct locus-specific alignments and phylogenies from thousands of anthropologically relevant genome sequences. BMC Bioinformatics. 2017;18(1). doi:10.1186/s12859-017-1844-0. PMID:28950836. PMCID:PMC5615795.

PMID: 28950836
PMCID: PMC5615795
Funding: - UB Research Foundation: IMPACT grant - National Science Foundation: 1714867

Documentation