Package: CNVrd2 1.51.0
CNVrd2: CNVrd2: a read depth-based method to detect and genotype complex common copy number variants from next generation sequencing data.
CNVrd2 uses next-generation sequencing data to measure human gene copy number for multiple samples, indentify SNPs tagging copy number variants and detect copy number polymorphic genomic regions.
Authors:
CNVrd2_1.51.0.tar.gz
CNVrd2_1.51.0.zip(r-4.7)CNVrd2_1.51.0.zip(r-4.6)CNVrd2_1.51.0.zip(r-4.5)
CNVrd2_1.51.0.tgz(r-4.6-any)CNVrd2_1.51.0.tgz(r-4.5-any)
CNVrd2_1.51.0.tar.gz(r-4.7-any)CNVrd2_1.51.0.tar.gz(r-4.6-any)
CNVrd2_1.51.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
CNVrd2/json (API)
| # Install 'CNVrd2' in R: |
| install.packages('CNVrd2', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/hoangtn/cnvrd2/issues
- jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
- c++– GNU Standard C++ Library v3
- ccl3l1data - Data of CCL3L1 gene
- copynumberGroups - MXL population data
- objectCNVrd2 - MXL population data
- resultSegment - MXL population data
On BioConductor:CNVrd2-1.51.0(bioc 3.24)CNVrd2-1.50.0(bioc 3.23)
copynumbervariationsnpsequencingsoftwarecoveragelinkagedisequilibriumclustering.jagscpp
Last updated from:1e605d700f. Checks:2 ERROR, 7 WARNING, 1 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| bioc-checks | ERROR | 200 | ||
| linux-devel-x86_64 | WARNING | 256 | ||
| source / vignettes | ERROR | 3202 | ||
| linux-release-x86_64 | WARNING | 338 | ||
| macos-release-arm64 | WARNING | 209 | ||
| macos-oldrel-arm64 | WARNING | 173 | ||
| windows-devel | WARNING | 224 | ||
| windows-release | WARNING | 206 | ||
| windows-oldrel | WARNING | 231 | ||
| wasm-release | OK | 154 |
Exports:calculateLDSNPandCNVcountReadInWindowemnormalCNVgroupBayesianCNVsgroupCNVsidentifyPolymorphicRegionplotCNVrd2plotPolymorphicRegionsearchGroupCNVssegmentSamplessegmentSamplesUsingPopInformation
Dependencies:abindAnnotationDbiaskpassBHBiobaseBiocBaseUtilsBiocGenericsBiocIOBiocParallelBiostringsbitbit64bitopsblobBSgenomecachemcigarilloclicodacodetoolscpp11crayoncurlDBIDelayedArrayDNAcopyfarverfastmapformatRfutile.loggerfutile.optionsgenericsGenomicAlignmentsGenomicFeaturesGenomicRangesggplot2gluegridExtragtablehttrIRangesisobandjsonliteKEGGRESTlabelinglambda.rlatticelifecycleMatrixMatrixGenericsmatrixStatsmemoisemimeopensslpkgconfigpngR6RColorBrewerRCurlrestfulrRhtslibrjagsrjsonrlangRsamtoolsRSQLitertracklayerS4ArraysS4VectorsS7scalesSeqinfosnowSparseArraySummarizedExperimentsysVariantAnnotationvctrsviridisLitewithrXMLXVectoryaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| CNVrd2 | CNVrd2-package |
| calculateLDSNPandCNV | calculateLDSNPandCNV |
| Data of CCL3L1 gene (The 1000 Genomes Project) | ccl3l1data |
| Class '"clusteringCNVs"' | clusteringCNVs-class emnormalCNV,clusteringCNVs-method groupCNVs,clusteringCNVs-method objectCluster searchGroupCNVs,clusteringCNVs-method |
| Class '"CNVrd2"' | CNVrd2-class countReadInWindow,CNVrd2-method plotCNVrd2,CNVrd2-method |
| Obtain read counts in constant windows. | countReadInWindow |
| Method 'countReadInWindow' | countReadInWindow-methods |
| Implement the EM algorithm | emnormalCNV |
| Method 'emnormalCNV' | emnormalCNV-methods |
| MXL population data (The 1000 Genomes Project) | .Random.seed allGroups bamFiles copynumberGroups fcgr3bMXL objectCNVrd2 readCountMatrix resultSegment |
| groupBayesianCNVs | groupBayesianCNVs |
| Cluster segmentation scores into groups. | groupCNVs |
| Method 'groupCNVs' | groupCNVs-methods |
| Identity polymorphic regions. | identifyPolymorphicRegion |
| Methods for Function 'identifyPolymorphicRegion' | identifyPolymorphicRegion,CNVrd2-method identifyPolymorphicRegion-methods |
| Class '"numericOrNULL"' | numericOrNULL-class |
| Plot traces of samples. | plotCNVrd2 |
| Method 'plotCNVrd2' | plotCNVrd2-methods |
| Plot polymorphic regions. | plotPolymorphicRegion |
| Methods for Function 'plotPolymorphicRegion' | plotPolymorphicRegion,CNVrd2-method plotPolymorphicRegion-methods |
| Choose a number of CN groups | searchGroupCNVs |
| Method 'searchGroupCNVs' | searchGroupCNVs-methods |
| Implement the segmentation process | segmentSamples |
| Method 'segmentSamples' | segmentSamples,CNVrd2-method segmentSamples-methods |
| Implement the segmentation process for multiple populations | segmentSamplesUsingPopInformation |
| Method 'segmentSamplesUsingPopInformation' | segmentSamplesUsingPopInformation,CNVrd2-method segmentSamplesUsingPopInformation-methods |
| Class '"vectorORfactor"' | vectorORfactor-class |
