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Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

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Published on: December 7, 2021

Estimating evolutionary and demographic parameters via ARG-derived IBD.

Zhendong Huang¹, Jerome Kelleher², Yao-Ban Chan¹

¹Melbourne Integrative Genomics, School of Mathematics & Statistics, University of Melbourne, Australia.

Biorxiv : the Preprint Server for Biology

|April 1, 2024

Summary

This summary is machine-generated.

This study introduces a new method for analyzing genome sequences by efficiently encoding data using the ancestral recombination graph (ARG). This approach improves the inference of demographic and evolutionary parameters from identical-by-descent (IBD) segments.

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Area of Science:

Genomics
Population Genetics
Computational Biology

Background:

Inferring demographic and evolutionary parameters from genome sequences typically involves identifying identical-by-descent (IBD) segments.
Current methods often require imposing length thresholds on IBD segments and verifying the absence of recombination, which can be challenging.

Conclusions:

The ARG-based approach offers significant improvements in inferring demographic and evolutionary parameters from genome sequences.
The method is computationally efficient and robust, handling nuisance parameters and model misspecification effectively.
This approach enhances estimation precision and reduces computational cost in population genetic analyses.