Zombi
Zombi simulates the evolution of species, genomes, and sequences in silico, incorporating extinct lineages to generate phylogenetic trees that account for both extant and extinct taxa.
Key Features:
- Extinct lineage simulation: Simulates genome evolution in extinct lineages to include extinct taxa in evolutionary scenarios.
- Species tree generation: Generates species trees with adjustable speciation and extinction rates to model varying macroevolutionary dynamics.
- Gene tree–species tree reconciliation: Outputs reconciliations between gene trees and species trees to track gene family evolution and lineage-specific events.
- Intergenic sequence simulation: Simulates intergenic sequences with variable lengths to produce realistic genomic sequence data.
Scientific Applications:
- Evolutionary hypothesis testing: Enables testing of evolutionary hypotheses under controlled simulated conditions.
- Speciation and extinction dynamics: Provides insights into speciation and extinction processes by explicitly modeling extinct lineages and rate variation.
- Phylogenetics, molecular evolution, and comparative genomics: Produces species trees, gene trees, and simulated sequences for analyses in phylogenetics, molecular evolution, and comparative genomics.
Methodology:
Simulates species trees with adjustable speciation and extinction rates; simulates genome evolution including extinct lineages; simulates intergenic sequences of variable lengths; and outputs reconciled gene trees and species trees.
Topics
Details
- Programming Languages:
- Python
- Added:
- 11/14/2019
- Last Updated:
- 11/24/2024
Operations
Publications
Davín AA, Tricou T, Tannier E, de Vienne DM, Szöllősi GJ. Zombi: a phylogenetic simulator of trees, genomes and sequences that accounts for dead linages. Bioinformatics. 2019;36(4):1286-1288. doi:10.1093/bioinformatics/btz710. PMID:31566657. PMCID:PMC7031779.
PMID: 31566657
PMCID: PMC7031779
Funding: - European Research Council under the European Union’s Horizon 2020: ANR-18-CE02-0007-01, GINOP-2.3.2.-15-2016-00057