info2cost

info2cost.bc

info2cost.f2

Functions to calculate information cost-ratios.

design

Information-cost functions

Design of QTL (quantitative trait locus) experiments
involves choosing which strains to cross, the type of cross,
genotyping strategies, phenotyping strategies, and the number of
progeny to raise and phenotype. This package provides tools to help
make such choices.
Sen and others (2007) <doi:10.1007/s00335-006-0090-y>.

Saunak Sen

qtlDesign

Design of QTL (Quantitative Trait Locus) Experiments

Jaya Satagopan

Karl Broman

Gary Churchill

Brian Yandell

Information-cost functions function

<dl> <dt>sel.frac</dt>
<dd>Selection fraction; proportion of individuals genotyped</dd> <dt>cost</dt>
<dd>Genotyping cost in units of raising an individual. When
 <code>d=0</code> (dense genotyping), it is the cost of genotyping an
 individual. When <code>d!=0</code>, it is the cost of a single marker
 genotype in an individual.</dd> <dt>d</dt>
<dd>Marker spacing in centiMorgans</dd> <dt>G</dt>
<dd>Genome size in Morgans</dd> <dt>cross</dt>
<dd>Cross type, "bc"or "f2"</dd>
 
</dl>

Arguments

Saunak Sen, Jaya Satagopan, Karl Broman, and Gary Churchill

Author

Functions to calculate information-cost ratios — Information-cost functions

<dl>

 <dt>sel.frac</dt>
<dd>Selection fraction; proportion of individuals genotyped</dd>

 <dt>cost</dt>
<dd>Genotyping cost in units of raising an individual. When
 <code>d=0</code> (dense genotyping), it is the cost of genotyping an
 individual. When <code>d!=0</code>, it is the cost of a single marker
 genotype in an individual.</dd>

 <dt>d</dt>
<dd>Marker spacing in centiMorgans</dd>

 <dt>G</dt>
<dd>Genome size in Morgans</dd>

 <dt>cross</dt>
<dd>Cross type, "bc"or "f2"</dd>
 
</dl>

Information-cost functions: Functions to calculate information-cost ratios

Description

Usage

Value

Arguments

Author

Details

References

See Also

Examples