selfingTree-package {selfingTree} | R Documentation |
Genotype Probabilities in Intermediate Generations of Inbreeding Through Selfing
Description
A probability tree allows to compute probabilities of complex events, such as genotype probabilities in intermediate generations of inbreeding through recurrent self-fertilization (selfing). This package implements functionality to compute probability trees for two- and three-marker genotypes in the F2 to F7 selfing generations. The conditional probabilities are derived automatically and in symbolic form. The package also provides functionality to extract and evaluate the relevant probabilities.
Copyright (c) 2014, Pioneer Hi-Bred International, Inc.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
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Details
Package: | selfingTree |
Type: | Package |
Version: | 0.2 |
Date: | 2014-12-18 |
LazyData: | yes |
Depends: | foreach |
Function buildSelfingTree
generates the probability trees for
two- and three-marker genotypes. This is done by recursively calling
functions genSubtree.2M
(two-marker genotypes) or
genSubtree.3M
(three-marker genotypes). The core functionality of
deriving the symbolic conditional haplotype probabilities is implemented
in functions haploProb.2M
and haploProb.3M
. The function
nodeProbabilities
is used to symbolically multiply the
conditional probabilities along all branches and uses function
extractProbs
to extract the conditional probabilities from the
trees. Finally function evalProb
symbolically sums the marginal
probabilities of relevant nodes and evaluates them with user specified
values for the recombination frequencies. The function getTargets
can be used to identify relevant events given a target genotype.
Author(s)
Frank Technow
at Pioneer Hi-Bred International, Inc., Breeding Technologies, Johnson/IA, USA.
Maintainer: Frank Technow Frank.Technow@pioneer.com