ThetaMater: Bayesian estimation of population size parameter θ from genomic data

Richard H Adams; Drew R Schield; Daren C Card; Andrew Corbin; Todd A Castoe

doi:10.1093/bioinformatics/btx733

ThetaMater: Bayesian estimation of population size parameter θ from genomic data

Bioinformatics. 2018 Mar 15;34(6):1072-1073. doi: 10.1093/bioinformatics/btx733.

Authors

Richard H Adams¹, Drew R Schield¹, Daren C Card¹, Andrew Corbin¹, Todd A Castoe¹

Affiliation

¹ Department of Biology, The University of Texas at Arlington, Arlington, TX 76019, USA.

PMID: 29194472
DOI: 10.1093/bioinformatics/btx733

Abstract

Summary: We describe ThetaMater, an open source R package comprising a suite of functions for efficient and scalable Bayesian estimation of the population size parameter θ from genomic data.

Availability and implementation: ThetaMater is available at GitHub (https://github.com/radamsRHA/ThetaMater).

Contact: [email protected].

Supplementary information: Supplementary data are available at Bioinformatics online.

Publication types

Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Bayes Theorem
Genome
Genomics*
Population Density
Software