FRANz: Reconstruction of wild multi-generation pedigrees

Markus Riester, Peter F. Stadler, Konstantin Klemm

Research output: Contribution to journalArticlepeer-review

57 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)2134-2139
Number of pages6
JournalBioinformatics
Volume25
Issue number16
DOIs
Publication statusPublished - Aug 2009

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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