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