Package: comapr 1.17.0

Ruqian Lyu

comapr: Crossover analysis and genetic map construction

comapr detects crossover intervals for single gametes from their haplotype states sequences and stores the crossovers in GRanges object. The genetic distances can then be calculated via the mapping functions using estimated crossover rates for maker intervals. Visualisation functions for plotting interval-based genetic map or cumulative genetic distances are implemented, which help reveal the variation of crossovers landscapes across the genome and across individuals.

Authors:Ruqian Lyu [aut, cre]

comapr_1.17.0.tar.gz
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manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
comapr/json (API)

# Install 'comapr' in R:
install.packages('comapr', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • coCount - RangedSummarizedExperiment object containing the crossover counts across samples for the list of SNP marker intervals
  • parents_geno - Parents' genotype for F1 samples in 'snp_geno'
  • snp_geno - Markers by genotype results for a group of samples
  • snp_geno_gr - Markers by genotype results for a group of samples
  • twoSamples - RangedSummarizedExperiment object containing the Viterbi states SNP markers for samples from two groups. 'colData(twoSamples)' contains the sample group factor.

On BioConductor:comapr-1.17.0(bioc 3.24)comapr-1.16.0(bioc 3.23)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

softwaresinglecellvisualizationgenetics

4.48 score 4 scripts 25 exports 155 dependencies

Last updated from:b210ba9245. Checks:1 WARNING, 7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksWARNING282
linux-devel-x86_64NOTE542
source / vignettesOK359
linux-release-x86_64NOTE568
macos-release-arm64NOTE269
macos-oldrel-arm64NOTE236
windows-develNOTE494
windows-releaseNOTE548
windows-oldrelNOTE471
wasm-releaseOK216

Exports:bootstrapDistcalGeneticDistcombineHapStatecorrectGTcountBinStatecountCOscountGTfilterGTfindDupSamplesgetAFTracksgetCellAFTrackgetCellCORangegetCellDPTrackgetDistortedMarkersgetMeanDPTrackgetSNPDensityTrackperCellChrQCpermuteDistperSegChrQCplotCountplotGeneticDistplotGTFreqplotWholeGenomereadColMMreadHapState

Dependencies:abindAnnotationDbiAnnotationFilteraskpassbackportsbase64encBHBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocIOBiocParallelbiomaRtBiostringsbiovizBasebitbit64bitopsblobBSgenomebslibcachemcheckmatecigarillocirclizecliclustercodetoolscolorspacecpp11crayoncrosstalkcurldata.tableDBIdbplyrDelayedArraydeldirdichromatdigestdplyrensembldbevaluatefarverfastmapfilelockfontawesomeforeachforeignformatRFormulafsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomicAlignmentsGenomicFeaturesGenomicRangesggplot2GlobalOptionsgluegridExtragtableGvizhighrHmischmshtmlTablehtmltoolshtmlwidgetshttrhttr2interpIRangesisobanditeratorsjpegjquerylibjsonliteKEGGRESTknitrlabelinglambda.rlaterlatticelatticeExtralazyevallifecyclemagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemimennetopensslotelpillarpkgconfigplotlyplyrpngprettyunitsprogresspromisesProtGenericspurrrR6rappdirsRColorBrewerRcppRcppEigenRCurlreshape2restfulrRhtslibrjsonrlangrmarkdownrpartRsamtoolsRSQLiterstudioapirtracklayerS4ArraysS4VectorsS7sassscalesSeqinfoshapesnowSparseArraystringistringrSummarizedExperimentsystibbletidyrtidyselecttinytexUCSC.utilsutf8VariantAnnotationvctrsviridisLitewithrxfunXMLxml2XVectoryaml

Genetic distance calculation from genotype shifts of markers
Installation | Introduction | The demo data set of genotyping results | Format the genotype | Find outlier samples/markers | Find sample duplicates | Count crossovers | Calculate genetic distance | Calculate genetic distance for equally binned intervals | Total genetic distances | Plotting genetic distance for each bin | Plot cumulative distances | Whole Genome Genetic distances Plot | Sessioninfo

Last update: 2021-12-31
Started: 2020-10-13

single-sperm-co-analysis
Introduction | Locate file path | File information | Diagnostic functions | perCellChrQC | Input parsing | Construct RangedSummarizedExpriment object | Formate sample group factor | Add sample group factor | Combine two groups | Count crossovers | Count crossovers for SNP intervals | Calculate genetic distances | Plot whole genome genetic distances | Group differences | Session info

Last update: 2021-09-26
Started: 2021-01-21

Readme and manuals

Help Manual

Help pageTopics
bootstrapDistbootstrapDist
calGeneticDistcalGeneticDist calGeneticDist,GRanges,missing,ANY,ANY,character-method calGeneticDist,GRanges,missing,ANY,ANY,missing-method calGeneticDist,GRanges,numeric,ANY,ANY,character-method calGeneticDist,GRanges,numeric,ANY,ANY,missing-method calGeneticDist,RangedSummarizedExperiment,missing,ANY,ANY,character-method calGeneticDist,RangedSummarizedExperiment,missing,ANY,ANY,missing-method calGeneticDist,RangedSummarizedExperiment,numeric,ANY,ANY,character-method calGeneticDist,RangedSummarizedExperiment,numeric,ANY,ANY,missing-method
RangedSummarizedExperiment object containing the crossover counts across samples for the list of SNP marker intervalscoCount
'comapr' packagecomapr
combineHapStatecombineHapState
correctGTcorrectGT
countBinStatecountBinState
countCOscountCOs countCOs,GRanges-method countCOs,RangedSummarizedExperiment-method
countGTcountGT
filterGTfilterGT filterGT,GRanges,numeric,numeric-method filterGT,matrix,numeric,numeric-method
findDupSamplesfindDupSamples
getAFTracksgetAFTracks
getCellAFTrack Generates the DataTracks for plotting AF and crossover regionsgetCellAFTrack
getCellCORangegetCellCORange
getCellDPTrack Generates the DataTrack for plotting DP of a selected cellgetCellDPTrack
getDistortedMarkersgetDistortedMarkers
getMeanDPTrackgetMeanDPTrack
getSNPDensityTrackgetSNPDensityTrack
Parents' genotype for F1 samples in `snp_geno`parents_geno
perCellChrQCperCellChrQC
permuteDistpermuteDist
perSegChrQCperSegChrQC
plotCountplotCount plotCount,GRanges,logical,character-method plotCount,GRanges,logical,missing-method plotCount,GRanges,missing,character-method plotCount,GRanges,missing,missing-method plotCount,RangedSummarizedExperiment,logical,character-method plotCount,RangedSummarizedExperiment,logical,missing-method plotCount,RangedSummarizedExperiment,missing,character-method plotCount,RangedSummarizedExperiment,missing,missing-method
plotGeneticDistplotGeneticDist
plotGTFreqplotGTFreq
Plot cumulative genetic distances across the genomeplotWholeGenome
readColMMreadColMM
readHapStatereadHapState
Markers by genotype results for a group of samplessnp_geno
Markers by genotype results for a group of samplessnp_geno_gr
RangedSummarizedExperiment object containing the Viterbi states SNP markers for samples from two groups. `colData(twoSamples)` contains the sample group factor.twoSamples