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Related Experiment Video

Updated: Jan 30, 2026

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Genotypic Inference of HIV-1 Tropism Using Population-based Sequencing of V3

Published on: December 27, 2010

polyRAD: Genotype Calling with Uncertainty from Sequencing Data in Polyploids and Diploids.

Lindsay V Clark¹, Alexander E Lipka², Erik J Sacks²

¹Department of Crop Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801 lvclark@illinois.edu.

G3 (Bethesda, Md.)

|January 19, 2019

Summary

New Bayesian algorithms in the polyRAD R package improve genotype calling for low-coverage sequencing data, addressing missing data and improving accuracy in polyploid species.

Keywords:

Bayesian genotype calling genotype imputation next-generation DNA sequencing polyploidy single nucleotide polymorphism

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Area of Science:

Population genetics
Genomics
Bioinformatics

Background:

Low or uneven read depth in genotyping-by-sequencing (GBS) and RAD-seq leads to high missing data rates and inaccurate genotype calls.
Existing Bayesian genotype calling methods often require a reference genome or use unsuitable priors for specific populations.

Purpose of the Study:

To develop novel Bayesian algorithms for accurate genotype calling from low-coverage sequencing data.
To implement these algorithms in a user-friendly R package, polyRAD, for broader accessibility.

Main Methods:

Development of several novel Bayesian algorithms to estimate genotype posterior probabilities.
Implementation of these algorithms within the R package polyRAD.
Incorporation of flexible prior specifications for various population structures and linkage information.

Main Results:

The polyRAD package successfully imports read depth data from existing sequencing pipelines.
The algorithms provide accurate genotype posterior probabilities, mitigating issues like heterozygote miscalling.
Output genotypes are suitable for downstream analyses such as genome-wide association studies and genomic prediction.

Conclusions:

The polyRAD R package offers a robust solution for genotype calling from low-coverage sequencing data.
This approach enhances the reliability of genetic analyses in populations with challenging sequencing data.
The software facilitates more accurate genomic prediction and genome-wide association studies.