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introgress: a software package for mapping components of isolation in hybrids
Zachariah Gompert1, C Alex Buerkle
1Department of Botany and Program in Ecology, University of Wyoming, Laramie, WY 82071, USA.
Introgress is a new R software package for analyzing genotype introgression between hybridizing lineages. It estimates genomic clines and tests for deviations from neutral expectations using various marker data types.
Area of Science:
- Population Genetics
- Genomics
- Bioinformatics
Background:
- Introgression analysis is crucial for understanding hybridization dynamics in divergent lineages.
- Existing methods may lack flexibility in handling diverse genetic marker data or require fixed allelic differences.
Purpose of the Study:
- Introduce the 'introgress' software package for analyzing genotype introgression.
- Provide a flexible tool for estimating genomic clines and testing neutral expectations.
Main Methods:
- Utilizes multi-locus genotype data for introgression analysis.
- Supports co-dominant, dominant, and haploid marker data.
- Employs permutation and parametric procedures for significance testing.
- Implements maximum likelihood estimation for hybrid index and graphical analyses.
Main Results:
- The 'introgress' package offers comprehensive functions for introgression analysis.
- It does not require fixed allelic differences between parental populations.
- Provides robust methods for estimating genomic clines and hybrid index.
Conclusions:
- 'introgress' is a valuable, freely available R package for population geneticists.
- Facilitates advanced introgression and hybridization studies.
- Enhances the analysis of genomic data from hybridizing species.
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