Quantitative Trait Locus Mapping in Experimental Crosses
Add thresholds to genome scan plot
Basic summaries of a cross2 object
Batch columns by pattern of missing values
Split vector into batches
Calculate Bayes credible intervals
Calculate entropy of genotype probability distribution
Calculate genotyping error LOD scores
Calculate genotype frequencies
Calculate conditional genotype probabilities
Calculate indicators of which marker/pseudomarker positions are along ...
Calculate heterozygosities
Calculate kinship matrix
Calculate founder minor allele frequencies from raw SNP genotypes
Calculate genotype frequencies from raw SNP genotypes
Calculate estimated heterozygosity from raw SNP genotypes
Calculate minor allele frequency from raw SNP genotypes
Calculate strain distribution pattern from SNP genotypes
Combine matrices by columns, expanding and aligning rows
Join genotype probabilities for different chromosomes
Join genome scan results for different phenotypes.
Combine columns from multiple scan1 permutation results
Join genotype imputations for different chromosomes
Join viterbi results for different chromosomes
Check a cross2 object
Chi-square test on all pairs of columns
Calculate chromosome lengths
Clean genotype probabilities
Clean scan1 output
Clean an object
Compare founders genotype data
Compare individuals' genotype data
Compare two sets of genotype probabilities
Compare two marker maps
Convert R/qtl cross object to new format
Count numbers of crossovers
Create a function to query genes
Create snp information table for a cross
Create a function to query variants
Calculate eigen decomposition of kinship matrix
Drop markers from a cross2 object
Drop markers with no genotype data
Estimate heritability with a linear mixed model
Estimate genetic maps
Find markers with identical genotype data
Find IBD segments for a set of strains
Find name of indexed snp
Find gaps in a genetic map
Find markers by chromosome position
Find positions of markers
Find peaks in a set of LOD curves
Fit single-QTL model at a single position
Read a csv file that has numeric columns
Read a csv file
Convert genotype probabilities to allele probabilities
Convert genotype probabilities to SNP probabilities
Get common set of IDs from objects
Get X chromosome covariates
Guess phase of imputed genotypes
Create index of equivalent SNPs
Insert pseudomarkers into a marker map
Interpolate genotype probabilities
Interpolate between maps
Calculate SNP genotype matrix from strain distribution patterns
Locate crossovers
Calculate LOD support intervals
Subset a map to positions on a grid
Define strata based on rows of a matrix
Find pair with most similar genotypes
Find position with maximum LOD score
Overall maximum LOD score
Find genotypes with maximum marginal probabilities
Count missing genotypes
Plot QTL effects along chromosome
Plot of compare_geno object.
Plot gene locations for a genomic interval
Plot genotype probabilities for one individual on one chromosome.
Plot comparison of two sets of genotype probabilities
Plot LOD scores vs QTL peak locations
Plot one individual's genome-wide genotypes
Plot QTL peak locations
Plot phenotype vs genotype
Plot a genome scan
plot strain distribution patterns for SNPs
Plot SNP associations
Predict SNP genotypes
Print a cross2 object
Print summary of scan1perm permutations
Subset genotype probability array to pseudomarkers on a grid
Pull genotype probabilities for an interval
Pull genotype probabilities for a particular position
Drop all but a specified set of markers
Internal functions
qtl2: Quantitative Trait Locus Mapping in Experimental Crosses
Installed version of R/qtl2
Join genotype probabilities for different individuals
Join genome scan results for different chromosomes.
Combine data from scan1perm objects
Join genotype imputations for different individuals
Join Viterbi results for different individuals
Read QTL data from files
Read phenotype data
Recode SNPs by major allele
Reduce the lengths of gaps in a map
Reduce markers to a subset of more-evenly-spaced ones
Replace individual IDs
Scale kinship matrix
Genome scan with a single-QTL model
Calculate BLUPs of QTL effects in scan along one chromosome
Calculate QTL effects in scan along one chromosome
Maximum LOD score from genome scan with a single-QTL model
Permutation test for genome scan with a single-QTL model
Single-QTL genome scan at imputed SNPs
Convert strain distribution patterns to character strings
Simulate genotypes given observed marker data
Smooth genetic map
Subset scan1 output
Subsetting genotype probabilities
Subsetting data for a QTL experiment
Subsetting imputed genotypes
Subsetting Viterbi results
Basic summary of compare_geno object
Summarize scan1perm results
Summary of cross2 object
Create table of top snp associations
Unsmooth genetic map
Calculate most probable sequence of genotypes
Write a control file for QTL data
Get x-axis position for genomic location
Zip a set of data files
Provides a set of tools to perform quantitative trait locus (QTL) analysis in experimental crosses. It is a reimplementation of the 'R/qtl' package to better handle high-dimensional data and complex cross designs. Broman et al. (2019) <doi:10.1534/genetics.118.301595>.
Useful links