qtl20.38 package

Quantitative Trait Locus Mapping in Experimental Crosses

add_threshold

Add thresholds to genome scan plot

basic_summaries

Basic summaries of a cross2 object

batch_cols

Batch columns by pattern of missing values

batch_vec

Split vector into batches

bayes_int

Calculate Bayes credible intervals

calc_entropy

Calculate entropy of genotype probability distribution

calc_errorlod

Calculate genotyping error LOD scores

calc_geno_freq

Calculate genotype frequencies

calc_genoprob

Calculate conditional genotype probabilities

calc_grid

Calculate indicators of which marker/pseudomarker positions are along ...

calc_het

Calculate heterozygosities

calc_kinship

Calculate kinship matrix

calc_raw_founder_maf

Calculate founder minor allele frequencies from raw SNP genotypes

calc_raw_geno_freq

Calculate genotype frequencies from raw SNP genotypes

calc_raw_het

Calculate estimated heterozygosity from raw SNP genotypes

calc_raw_maf

Calculate minor allele frequency from raw SNP genotypes

calc_sdp

Calculate strain distribution pattern from SNP genotypes

cbind_expand

Combine matrices by columns, expanding and aligning rows

cbind.calc_genoprob

Join genotype probabilities for different chromosomes

cbind.scan1

Join genome scan results for different phenotypes.

cbind.scan1perm

Combine columns from multiple scan1 permutation results

cbind.sim_geno

Join genotype imputations for different chromosomes

cbind.viterbi

Join viterbi results for different chromosomes

check_cross2

Check a cross2 object

chisq_colpairs

Chi-square test on all pairs of columns

chr_lengths

Calculate chromosome lengths

clean_genoprob

Clean genotype probabilities

clean_scan1

Clean scan1 output

clean

Clean an object

compare_founder_geno

Compare founders genotype data

compare_geno

Compare individuals' genotype data

compare_genoprob

Compare two sets of genotype probabilities

compare_maps

Compare two marker maps

convert2cross2

Convert R/qtl cross object to new format

count_xo

Count numbers of crossovers

create_gene_query_func

Create a function to query genes

create_snpinfo

Create snp information table for a cross

create_variant_query_func

Create a function to query variants

decomp_kinship

Calculate eigen decomposition of kinship matrix

drop_markers

Drop markers from a cross2 object

drop_nullmarkers

Drop markers with no genotype data

est_herit

Estimate heritability with a linear mixed model

est_map

Estimate genetic maps

find_dup_markers

Find markers with identical genotype data

find_ibd_segments

Find IBD segments for a set of strains

find_index_snp

Find name of indexed snp

find_map_gaps

Find gaps in a genetic map

find_marker

Find markers by chromosome position

find_markerpos

Find positions of markers

find_peaks

Find peaks in a set of LOD curves

fit1

Fit single-QTL model at a single position

fread_csv_numer

Read a csv file that has numeric columns

fread_csv

Read a csv file

genoprob_to_alleleprob

Convert genotype probabilities to allele probabilities

genoprob_to_snpprob

Convert genotype probabilities to SNP probabilities

get_common_ids

Get common set of IDs from objects

get_x_covar

Get X chromosome covariates

guess_phase

Guess phase of imputed genotypes

index_snps

Create index of equivalent SNPs

insert_pseudomarkers

Insert pseudomarkers into a marker map

interp_genoprob

Interpolate genotype probabilities

interp_map

Interpolate between maps

invert_sdp

Calculate SNP genotype matrix from strain distribution patterns

locate_xo

Locate crossovers

lod_int

Calculate LOD support intervals

map_to_grid

Subset a map to positions on a grid

mat2strata

Define strata based on rows of a matrix

max_compare_geno

Find pair with most similar genotypes

max_scan1

Find position with maximum LOD score

maxlod

Overall maximum LOD score

maxmarg

Find genotypes with maximum marginal probabilities

n_missing

Count missing genotypes

plot_coef

Plot QTL effects along chromosome

plot_compare_geno

Plot of compare_geno object.

plot_genes

Plot gene locations for a genomic interval

plot_genoprob

Plot genotype probabilities for one individual on one chromosome.

plot_genoprobcomp

Plot comparison of two sets of genotype probabilities

plot_lodpeaks

Plot LOD scores vs QTL peak locations

plot_onegeno

Plot one individual's genome-wide genotypes

plot_peaks

Plot QTL peak locations

plot_pxg

Plot phenotype vs genotype

plot_scan1

Plot a genome scan

plot_sdp

plot strain distribution patterns for SNPs

plot_snpasso

Plot SNP associations

predict_snpgeno

Predict SNP genotypes

print.cross2

Print a cross2 object

print.summary.scan1perm

Print summary of scan1perm permutations

probs_to_grid

Subset genotype probability array to pseudomarkers on a grid

pull_genoprobint

Pull genotype probabilities for an interval

pull_genoprobpos

Pull genotype probabilities for a particular position

pull_markers

Drop all but a specified set of markers

qtl2-internal

Internal functions

qtl2-package

qtl2: Quantitative Trait Locus Mapping in Experimental Crosses

qtl2version

Installed version of R/qtl2

rbind.calc_genoprob

Join genotype probabilities for different individuals

rbind.scan1

Join genome scan results for different chromosomes.

rbind.scan1perm

Combine data from scan1perm objects

rbind.sim_geno

Join genotype imputations for different individuals

rbind.viterbi

Join Viterbi results for different individuals

read_cross2

Read QTL data from files

read_pheno

Read phenotype data

recode_snps

Recode SNPs by major allele

reduce_map_gaps

Reduce the lengths of gaps in a map

reduce_markers

Reduce markers to a subset of more-evenly-spaced ones

replace_ids

Replace individual IDs

scale_kinship

Scale kinship matrix

scan1

Genome scan with a single-QTL model

scan1blup

Calculate BLUPs of QTL effects in scan along one chromosome

scan1coef

Calculate QTL effects in scan along one chromosome

scan1max

Maximum LOD score from genome scan with a single-QTL model

scan1perm

Permutation test for genome scan with a single-QTL model

scan1snps

Single-QTL genome scan at imputed SNPs

sdp2char

Convert strain distribution patterns to character strings

sim_geno

Simulate genotypes given observed marker data

smooth_gmap

Smooth genetic map

subset_scan1

Subset scan1 output

subset.calc_genoprob

Subsetting genotype probabilities

subset.cross2

Subsetting data for a QTL experiment

subset.sim_geno

Subsetting imputed genotypes

subset.viterbi

Subsetting Viterbi results

summary_compare_geno

Basic summary of compare_geno object

summary_scan1perm

Summarize scan1perm results

summary.cross2

Summary of cross2 object

top_snps

Create table of top snp associations

unsmooth_gmap

Unsmooth genetic map

viterbi

Calculate most probable sequence of genotypes

write_control_file

Write a control file for QTL data

xpos_scan1

Get x-axis position for genomic location

zip_datafiles

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>.

  • Maintainer: Karl W Broman
  • License: GPL-3
  • Last published: 2025-06-02