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FitTetra 2.0 - improved genotype calling for tetraploids with multiple population and parental data support.

Konrad ZychGerrit GortChris A MaliepaardRitsert C JansenRoeland E Voorrips
Published in: BMC bioinformatics (2019)
Our updated software package shows clearly improved performance in genotype calling accuracy. Estimation of mixing proportions of the underlying dosage distributions is separated for full-sib families (where mixture proportions can be estimated from the parental dosages and inheritance model) and unstructured populations (where they are based on the assumption of Hardy-Weinberg equilibrium). Additionally, as the distributions of signal ratios of the dosage classes can be assumed to be the same for all populations, including parental data for some subpopulations helps to improve fitting other populations as well. The R package fitTetra 2.0 is freely available under the GNU Public License as Additional file with this article.
Keyphrases
  • electronic health record
  • big data
  • genetic diversity
  • healthcare
  • data analysis
  • gene expression
  • molecular dynamics simulations
  • machine learning
  • dna methylation
  • monte carlo
  • artificial intelligence
  • adverse drug