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.