Package: CNVMetrics 1.9.0

Astrid DeschĂȘnes

CNVMetrics: Copy Number Variant Metrics

The CNVMetrics package calculates similarity metrics to facilitate copy number variant comparison among samples and/or methods. Similarity metrics can be employed to compare CNV profiles of genetically unrelated samples as well as those with a common genetic background. Some metrics are based on the shared amplified/deleted regions while other metrics rely on the level of amplification/deletion. The data type used as input is a plain text file containing the genomic position of the copy number variations, as well as the status and/or the log2 ratio values. Finally, a visualization tool is provided to explore resulting metrics.

Authors:Astrid DeschĂȘnes [aut, cre], Pascal Belleau [aut], David A. Tuveson [aut], Alexander Krasnitz [aut]

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NEWS

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

Peer review:

Bug tracker:https://github.com/krasnitzlab/cnvmetrics/issues

On BioConductor:CNVMetrics-1.9.0(bioc 3.20)CNVMetrics-1.8.0(bioc 3.19)

bioconductor-package

4 exports 0.82 score 42 dependencies

Last updated 2 months agofrom:436b355bfd

Exports:calculateLog2ratioMetriccalculateOverlapMetricplotMetricprocessSim

Dependencies:askpassBHBiocGenericsBiocParallelclicodetoolscolorspacecpp11curlfarverformatRfutile.loggerfutile.optionsGenomeInfoDbGenomeInfoDbDataGenomicRangesgluegridExtragtablehttrIRangesjsonlitelabelinglambda.rlifecyclemagrittrmimemunsellopensslpheatmapR6rBeta2009RColorBrewerrlangS4VectorsscalessnowsysUCSC.utilsviridisLiteXVectorzlibbioc

Quantifying similarity between copy number profiles

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Last update: 2022-10-20
Started: 2018-08-24