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FRANz: reconstruction of wild multi-generation pedigrees

Summary: We present a software package for pedigree reconstruction in natural populations using co-dominant genomic markers such as microsatellites and single nucleotide polymorphisms (SNPs). If available, the algorithm makes use of prior information such as known relationships (sub-pedigrees) or th...

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Detalles Bibliográficos
Autores principales: Riester, Markus, Stadler, Peter F., Klemm, Konstantin
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2722992/
https://www.ncbi.nlm.nih.gov/pubmed/19202194
http://dx.doi.org/10.1093/bioinformatics/btp064
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author Riester, Markus
Stadler, Peter F.
Klemm, Konstantin
author_facet Riester, Markus
Stadler, Peter F.
Klemm, Konstantin
author_sort Riester, Markus
collection PubMed
description Summary: We present a software package for pedigree reconstruction in natural populations using co-dominant genomic markers such as microsatellites and single nucleotide polymorphisms (SNPs). If available, the algorithm makes use of prior information such as known relationships (sub-pedigrees) or the age and sex of individuals. Statistical confidence is estimated by Markov Chain Monte Carlo (MCMC) sampling. The accuracy of the algorithm is demonstrated for simulated data as well as an empirical dataset with known pedigree. The parentage inference is robust even in the presence of genotyping errors. Availability: The C source code of FRANz can be obtained under the GPL from http://www.bioinf.uni-leipzig.de/Software/FRANz/. Contact: markus@bioinf.uni-leipzig.de
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spelling pubmed-27229922009-08-07 FRANz: reconstruction of wild multi-generation pedigrees Riester, Markus Stadler, Peter F. Klemm, Konstantin Bioinformatics German Conference on Bioinformatics Summary: We present a software package for pedigree reconstruction in natural populations using co-dominant genomic markers such as microsatellites and single nucleotide polymorphisms (SNPs). If available, the algorithm makes use of prior information such as known relationships (sub-pedigrees) or the age and sex of individuals. Statistical confidence is estimated by Markov Chain Monte Carlo (MCMC) sampling. The accuracy of the algorithm is demonstrated for simulated data as well as an empirical dataset with known pedigree. The parentage inference is robust even in the presence of genotyping errors. Availability: The C source code of FRANz can be obtained under the GPL from http://www.bioinf.uni-leipzig.de/Software/FRANz/. Contact: markus@bioinf.uni-leipzig.de Oxford University Press 2009-08-15 2009-02-08 /pmc/articles/PMC2722992/ /pubmed/19202194 http://dx.doi.org/10.1093/bioinformatics/btp064 Text en http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle German Conference on Bioinformatics
Riester, Markus
Stadler, Peter F.
Klemm, Konstantin
FRANz: reconstruction of wild multi-generation pedigrees
title FRANz: reconstruction of wild multi-generation pedigrees
title_full FRANz: reconstruction of wild multi-generation pedigrees
title_fullStr FRANz: reconstruction of wild multi-generation pedigrees
title_full_unstemmed FRANz: reconstruction of wild multi-generation pedigrees
title_short FRANz: reconstruction of wild multi-generation pedigrees
title_sort franz: reconstruction of wild multi-generation pedigrees
topic German Conference on Bioinformatics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2722992/
https://www.ncbi.nlm.nih.gov/pubmed/19202194
http://dx.doi.org/10.1093/bioinformatics/btp064
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