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DESCRIPTION
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DESCRIPTION
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Package: CNVWorkshop
Version: 1.0.0
Title: Copy number variation analysis with Bioconductor
Author: Ludwig Geistlinger, Marcel Ramos, Sehyun Oh, Levi Waldron
Maintainer: Ludwig Geistlinger <[email protected]>
Description: This workshop gives an overview of Bioconductor solutions for the
analysis of copy number variation (CNV) data. The workshop introduces Bioconductor
core data structures for efficient representation, access, and manipulation of
CNV data, and how to use these containers for structured downstream analysis of
CNVs and integration with gene expression and quantitative phenotypes.
Participants will be provided with code and hands-on practice for a comprehensive
set of typical analysis steps including exploratory analysis, summarizing
individual CNV calls across a population, overlap analysis with functional
genomic regions and regulatory elements, expression quantitative trait loci
(eQTL) analysis, and genome-wide association analysis (GWAS) with quantitative
phenotypes. As an advanced application example, the workshop also introduces
allele-specific absolute copy number analysis and how it is incorporated in
cancer genomic analysis for the estimation of tumor characteristics such as
tumor purity and ploidy.
Depends:
CNVRanger,
PureCN,
RaggedExperiment,
regioneR
Imports:
MultiAssayExperiment,
SummarizedExperiment,
TCGAutils,
curatedTCGAData,
ensembldb,
statmod
Suggests:
AnnotationHub,
BSgenome.Btaurus.UCSC.bosTau6.masked,
ComplexHeatmap,
Gviz,
TxDb.Hsapiens.UCSC.hg19.knownGene,
knitr,
org.Hs.eg.db,
pkgdown,
rmarkdown
License: Artistic-2.0
Encoding: UTF-8
LazyData: true
VignetteBuilder: knitr
biocViews:
CopyNumberVariation,
DifferentialExpression,
GeneExpression,
GenomeWideAssociation,
GenomicVariation,
Microarray,
RNASeq,
SNP
RoxygenNote: 6.1.1
URL: https://waldronlab.github.io/CNVWorkshop
DockerImage: ludwigg/cnvworkshop:latest