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A general and efficient representation of ancestral recombination graphs
Yan Wong1, Anastasia Ignatieva2,3, Jere Koskela4,5
1Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, UK.
Biorxiv : the Preprint Server for Biology
|November 14, 2023
Summary
Ancestral recombination graphs (ARGs) model genetic inheritance. A new formalism defines ARGs by genomes and inheritance intervals, unifying classical and modern methods for broader applications.
Area of Science:
- Genetics
- Computational Biology
- Bioinformatics
Background:
- Genetic sequences exhibit varying inheritance paths due to recombination.
- Ancestral recombination graphs (ARGs) traditionally model these paths via coalescence and recombination events.
- Modern methods increasingly diverge from event-based ARG inference.
Conclusions:
- A genome-and-interval-based ARG definition offers a more comprehensive perspective.
- This generalized formalism is suitable for unifying diverse ARG inference methods.
- It provides a robust basis for developing a standardized software framework in computational genetics.
Keywords:
Ancestral recombination graphs
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