Comparison of Markov Chain Monte Carlo Software for the Evolutionary Analysis of Y-Chromosomal Microsatellite Data.

Bayesian inference Coalescent Convergence Population genetics Runtime

Journal

Computational and structural biotechnology journal
ISSN: 2001-0370
Titre abrégé: Comput Struct Biotechnol J
Pays: Netherlands
ID NLM: 101585369

Informations de publication

Date de publication:
2019
Historique:
received: 28 02 2019
revised: 17 06 2019
accepted: 25 07 2019
entrez: 28 8 2019
pubmed: 28 8 2019
medline: 28 8 2019
Statut: epublish

Résumé

The evolutionary analysis of genetic data is an important subject of modern bioscience, with practical applications in diverse fields. Parameters of interest in this context include effective population sizes, mutation rates, population growth rates and the times to most recent common ancestors. Studying Y-chromosomal microsatellite data, in particular, has proven useful to unravel the recent patrilineal history of

Identifiants

pubmed: 31452861
doi: 10.1016/j.csbj.2019.07.014
pii: S2001-0370(19)30074-1
pmc: PMC6700485
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1082-1090

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Auteurs

Sven Gundlach (S)

Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Brunswiker Strasse 10, 24105 Kiel, Germany.

Olaf Junge (O)

Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Brunswiker Strasse 10, 24105 Kiel, Germany.

Lars Wienbrandt (L)

Institute of Clinical Molecular Biology, Kiel University, University Hospital Schleswig-Holstein, Rosalind-Franklin-Strasse 12, 24105 Kiel, Germany.

Michael Krawczak (M)

Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Brunswiker Strasse 10, 24105 Kiel, Germany.

Amke Caliebe (A)

Institute of Medical Informatics and Statistics, Kiel University, University Hospital Schleswig-Holstein, Brunswiker Strasse 10, 24105 Kiel, Germany.

Classifications MeSH