Package: CNVPanelizer 1.39.0

Thomas Wolf

CNVPanelizer: Reliable CNV detection in targeted sequencing applications

A method that allows for the use of a collection of non-matched normal tissue samples. Our approach uses a non-parametric bootstrap subsampling of the available reference samples to estimate the distribution of read counts from targeted sequencing. As inspired by random forest, this is combined with a procedure that subsamples the amplicons associated with each of the targeted genes. The obtained information allows us to reliably classify the copy number aberrations on the gene level.

Authors:Cristiano Oliveira [aut], Thomas Wolf [aut, cre], Albrecht Stenzinger [ctb], Volker Endris [ctb], Nicole Pfarr [ctb], Benedikt Brors [ths], Wilko Weichert [ths]

CNVPanelizer_1.39.0.tar.gz
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CNVPanelizer.pdf |CNVPanelizer.html
CNVPanelizer/json (API)
NEWS

# Install 'CNVPanelizer' in R:
install.packages('CNVPanelizer', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On BioConductor:CNVPanelizer-1.39.0(bioc 3.21)CNVPanelizer-1.38.0(bioc 3.20)

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

classificationsequencingnormalizationcopynumbervariationcoverage

5.32 score 12 scripts 246 downloads 7 mentions 21 exports 108 dependencies

Last updated 2 months agofrom:4aac16fafd. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 14 2024
R-4.5-winNOTEDec 14 2024
R-4.5-linuxNOTEDec 14 2024
R-4.4-winNOTEDec 14 2024
R-4.4-macNOTEDec 14 2024
R-4.3-winNOTEDec 14 2024
R-4.3-macNOTEDec 14 2024

Exports:BackgroundBedToGenomicRangesBootListCNVPanelizerCNVPanelizerFromReadCountsCNVPanelizerFromReadCountsHELPERCollectColumnFromAllReportTablesCombinedNormalizedCountsIndexMultipleBamsNormalizeCountsPlotBootstrapDistributionsReadCountsFromBamReadXLSXToListReportTablesRunCNVPanelizerShinySelectReferenceSetByInterquartileRangeSelectReferenceSetByKmeansSelectReferenceSetByPercentilSelectReferenceSetFromReadCountsStatusHeatmapWriteListToXLSX

Dependencies:askpassbase64encBHBiobaseBiocGenericsBiocParallelBiostringsbitopsbriobslibcachemcallrcaToolsclicodetoolscolorspacecommonmarkcpp11crayoncurldescdiffobjdigestevaluatefansifarverfastmapfontawesomeforeachformatRfsfutile.loggerfutile.optionsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesggplot2gluegplotsgtablegtoolshtmltoolshttpuvhttrIRangesisobanditeratorsjquerylibjsonliteKernSmoothlabelinglambda.rlaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeNOISeqopensslopenxlsxpillarpkgbuildpkgconfigpkgloadplyrpraiseprocessxpromisespsR6rappdirsRColorBrewerRcppreshape2RhtslibrlangrprojrootRsamtoolsS4VectorssassscalesshinyshinyFilesshinyjssnowsourcetoolsstringistringrsystestthattibbleUCSC.utilsutf8vctrsviridisLitewaldowithrxtableXVectorzipzlibbioc

CNVPanelizer

Rendered fromCNVPanelizer.Rnwusingknitr::knitron Dec 14 2024.

Last update: 2018-08-30
Started: 2015-06-25

Readme and manuals

Help Manual

Help pageTopics
Reliable CNV detection in targeted sequencing applicationsCNVPanelizer-package CNVPanelizer
BackgroundBackground
BedToGenomicRangesBedToGenomicRanges
BootListBootList
CNVPanelizerFromReadCountsCNVPanelizerFromReadCounts
CNVPanelizerFromReadCountsHELPERCNVPanelizerFromReadCountsHELPER
CollectColumnFromAllReportTablesCollectColumnFromAllReportTables
CombinedNormalizedCountsCombinedNormalizedCounts
IndexMultipleBamsIndexMultipleBams
NormalizeCountsNormalizeCounts
PlotBootstrapDistributionsPlotBootstrapDistributions
ReadCountsFromBamReadCountsFromBam
ReadXLSXToListReadXLSXToList
Reference sample datareferenceReadCounts
ReportTablesReportTables
RunCNVPanelizerShinyRunCNVPanelizerShiny
Test sample datasampleReadCounts
SelectReferenceSetByInterquartileRangeSelectReferenceSetByInterquartileRange
SelectReferenceSetByKmeansSelectReferenceSetByKmeans
SelectReferenceSetByPercentilSelectReferenceSetByPercentil
SelectReferenceSetFromReadCountsSelectReferenceSetFromReadCounts
StatusHeatmapStatusHeatmap
WriteListToXLSXWriteListToXLSX