Detection and quantification of introgression using Bayesian inference based on conjugate priors

The presented methods are implemented within the R-package PopGenome (https://github.com/pievos101/PopGenome) and the simulation as the application results can be reproduced from the source code available from a dedicated GitHub repository (https://github.com/pievos101/Introgression-Simulation).

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Publication Details

Journal
Bioinformatics
Published
2024-10-23
DOI
https://doi.org/10.1093/bioinformatics/btae642
Citations
1
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.33
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article

Detection and quantification of introgression using Bayesian inference based on conjugate priors

Sereina A. Herzog, Bastian Pfeifer, Durrell D. Kapan
1 citations
Bioinformatics
Fault Detection and Control Systems
0.33
article

Detection and quantification of introgression using Bayesian inference based on conjugate priors

Sereina A. Herzog, Bastian Pfeifer, Durrell D. Kapan
article en
1 citations

Abstract

The presented methods are implemented within the R-package PopGenome (https://github.com/pievos101/PopGenome) and the simulation as the application results can be reproduced from the source code available from a dedicated GitHub repository (https://github.com/pievos101/Introgression-Simulation).

BioinformaticsVol. 40(11)
Medical University of Graz (AT), California Academy of Sciences (US)
Openalex Percentile: Top 40%
Fault Detection and Control Systems
0.33
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