polymapR1.1.6 package

Linkage Analysis in Outcrossing Polyploids

bridgeHomologues

Use bridge markers to cluster homologues into linkage groups

calcSegtypeInfo

Build a list of segregation types

convert_polyRAD

Convert (probabilistic) genotype calling results from polyRAD to input...

homologue_lg_assignment

Assign markers to linkage groups and homologues.

linkage.gp

Calculate recombination frequency, LOD and phase using genotype probab...

linkage

Calculate recombination frequency, LOD and phase

plot_phased_maplist

Visualise the phased homologue maplist

assign_SN_SN

Assign (leftover) 1.0 markers

add_dup_markers

Add back duplicate markers after mapping

assign_linkage_group

Assign non-SN markers to a linkage group and homologue(s).

check_map

Check the quality of a linkage map

check_marker_assignment

Check for consistent marker assignment between both parents

check_maxP

check your dataset's maxP distribution

checkF1

Identify the best-fitting F1 segregation types

cluster_per_LG

Cluster 1.0 markers into correct homologues per linkage group

cluster_SN_markers

Cluster 1.0 markers

compare_maps

Compare linkage maps, showing links between connecting markers common ...

consensus_LG_assignment

Consensus LG assignment

consensus_LG_names

Find consensus linkage group names

convert_marker_dosages

Convert marker dosages to the basic types.

convert_updog

Convert (probabilistic) genotype calling results from updog to input c...

correctDosages

Check if dosage scores may have to be shifted

create_phased_maplist

Create a phased homologue map list using the original dosages

createTetraOriginInput

Create input files for TetraOrigin using an integrated linkage map lis...

define_LG_structure

Generate linkage group and homologue structure of SxN markers

finish_linkage_analysis

Linkage analysis between all markertypes within a linkage group.

get_markertype_combinations

Visualize and get all markertype combinations for which there are func...

gp_overview

gp_overview

marker_binning

Perform binning of markers.

marker_data_summary

Summarize marker data

MDSMap_from_list

Wrapper function for MDSMap to generate linkage maps from list of pair...

merge_homologues

Merge homologues

overviewSNlinks

Plotting 1.0 links between homologues

p4_functions

Calculate recombination frequency, LOD and log-likelihood from frequen...

parental_quantities

Calculate frequency of each markertype.

PCA_progeny

Perform a PCA on progeny

phase_SN_diploid

Phase 1.0 markers at the diploid level

plot_hom_vs_LG

Plot homologue position versus integrated positions

plot_map

Plot linkage maps

polymapR-package

polymapR: Linkage Analysis in Outcrossing Polyploids

r_LOD_plot

Plot r versus LOD

r2_functions

Calculate recombination frequency, LOD and log-likelihood from frequen...

r3_functions

Calculate recombination frequency, LOD and log-likelihood from frequen...

r4_functions

Calculate recombination frequency, LOD and log-likelihood from frequen...

r6_functions

Calculate recombination frequency, LOD and log-likelihood from frequen...

screen_for_duplicate_individuals.gp

Screen for duplicate individuals using weighted genotype probabilities

screen_for_duplicate_individuals

Screen for duplicate individuals

screen_for_duplicate_markers

Screen for and remove duplicated markers

screen_for_NA_values

Screen marker data for NA values

SNSN_LOD_deviations

Identify deviations in LOD scores between pairs of simplex x nulliplex...

test_prefpairing

Check for and estimate preferential pairing

write.mct

Write MapChart file

write.pwd

Write a JoinMap compatible .pwd file from linkage data.frame.

write.TSNPM

Write TetraploidSNPMap input file

write_nested_list

Write out a nested list

write_pwd_list

Write pwd files from a nested list

Creation of linkage maps in polyploid species from marker dosage scores of an F1 cross from two heterozygous parents. Currently works for outcrossing diploid, autotriploid, autotetraploid and autohexaploid species, as well as segmental allotetraploids. Methods are described in a manuscript of Bourke et al. (2018) <doi:10.1093/bioinformatics/bty371>. Since version 1.1.0, both discrete and probabilistic genotypes are acceptable input; for more details on the latter see Liao et al. (2021) <doi:10.1007/s00122-021-03834-x>.

  • Maintainer: Peter Bourke
  • License: GPL
  • Last published: 2024-05-31