High-Throughput Generation of Genetic Markers and Maps from Molecular Phenotypes for Crosses Between Inbred Strains


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Documentation for package ‘pheno2geno’ version 1.3.1

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add.to.population Add additional data to a population object
add.to.populationSub.internal Add additional data to a population object
assignChrToMarkers Function that assigns a chromosome label to a genetic marker
assignMaximum Create a de novo genetic map from a population object.
assignMaximumNoConflicts Create a de novo genetic map from a population object.
avg_map_distances Functions to provide some descriptive statistics on genetic maps
coloringMode Plotting routine for comparison of two genetic maps.
create.population Create a population object
cross.denovo Create a de novo genetic map from a population object.
cross.saturate Saturate an existing genetic map.
dataObject Add additional data to a population object
dataType Add additional data to a population object
fake.population Simulate a population object.
find.diff.expressed Finding differentially expressed genes.
find.mixups Find sample mix-ups
generate.biomarkers Generate discrete biomarkers from the continuous phenotypes
groupLabels Finding differentially expressed genes.
logarithmic plotMarkerDistribution
majorityCorrelation Create a de novo genetic map from a population object.
majorityOfMarkers Create a de novo genetic map from a population object.
map_distances Functions to provide some descriptive statistics on genetic maps
margin Generate discrete biomarkers from the continuous phenotypes
markerPlacementPlot Plot number of markers selected.
markers Plotting routine for children expression data.
markersCorPlot Plotting correlation between markers on two maps.
meanCorrelation Create a de novo genetic map from a population object.
overlapInd Generate discrete biomarkers from the continuous phenotypes
pheno2geno Pheno2Geno - High-throughput generation of genetic markers and maps from molecular phenotypes
phenotypeRow plotMarkerDistribution
plotChildrenExpression Plotting routine for children expression data.
plotMapComparison Plotting routine for comparison of two genetic maps.
plotMarkerDistribution plotMarkerDistribution
plotParentalExpression Plotting routine for parental expression data.
plotRPpval Visualize the outcome of a Rank product analysis
population Create a population object
power.plot Comparison of power of qtl detection.
projectOldMarkers Plotting routine which shows where markers from original map are located on saturated map.
proportion Generate discrete biomarkers from the continuous phenotypes
pull.biomarkers Extract the detected biomarkers from a population object.
qtl.comparison.plot Comparison of qtl profiles.
read.population Loading genotype and phenotype data
reduceChromosomesNumber Change the number of chromosomes in a cross object
removeChromosomes Change the number of chromosomes in a cross object
removeTooSmallChromosomes Change the number of chromosomes in a cross object
reorganizeMarkersWithin Reorganize markers within cross object.
save.gff Saving gff files.
scan.qtls Scan qtls
set.geno.from.cross Pull genotype from an object of class cross.
showRPpval Visualize the outcome of a Rank product analysis
sumMajorityCorrelation Create a de novo genetic map from a population object.
testCross Test cross object
testPopulation Test population object
transformation Basic functions to do transformation / normalization of phenotypes.
write.population Writes a population object to file.