Legofit
Legofit estimates population history parameters from nucleotide site pattern frequencies to infer admixture, ancestral population sizes, and separation times.
Key Features:
- Simultaneous Parameter Estimation: Estimates admixture events together with ancestral population sizes and separation times to reduce biases from separate estimation.
- Model Selection and Averaging: Implements model selection and averaging methods to address statistical identifiability among competing demographic models and parameter combinations.
- Data Manipulation and Analysis: Provides facilities for data manipulation, parameter estimation processes, and residual analysis of fit to nucleotide site pattern data.
- Focus on Deep Population History: Emphasizes inference of deep historical population size, subdivision, and admixture rather than recent population history.
Scientific Applications:
- Evolutionary history reconstruction: Reconstructs ancestral relationships among populations using DNA sequence data from multiple populations.
- Admixture and migration inference: Infers archaic admixture events and historical migration patterns from nucleotide site pattern frequencies.
- Cross-species demographic studies: Applies to genetic datasets from various species to study deep demographic events beyond human populations.
Methodology:
Uses counts of nucleotide site patterns as the basis for estimating historical population parameters.
Topics
Details
- Tool Type:
- command-line tool
- Programming Languages:
- C
- Added:
- 1/9/2020
- Last Updated:
- 12/22/2020
Operations
Publications
Rogers AR. Legofit: estimating population history from genetic data. BMC Bioinformatics. 2019;20(1). doi:10.1186/s12859-019-3154-1. PMID:31660852. PMCID:PMC6819480.
PMID: 31660852
PMCID: PMC6819480
Funding: - National Science Foundation: BCS 1638840
- Center for Scientific Computing, University of Utah: Not available