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ExomeDepth (version 1.0.0)

Calls CNV from exome sequence data

Description

Calls copy number variants (CNVs) from targeted sequence data

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Version

Install

install.packages('ExomeDepth')

Monthly Downloads

109

Version

1.0.0

License

GPL-3

Maintainer

Vincent Plagnol

Last Published

February 12th, 2014

Functions in ExomeDepth (1.0.0)

ExomeCount

Example dataset for ExomeDepth
plot-methods

~~ Methods for Function plot ~~
somatic.CNV.call

Call somatic variants between healthy and disease tissues.
TestCNV

Computes the Bayes Factor in favour of a CNV defined by position and type.
CallCNVs

Call CNV data from an ExomeDepth object.
Conrad.hg19.common.CNVs

Conrad et al common CNVs
count.everted.reads

Count the number of everted reads for a set of BAM files.
countBamInGRanges.exomeDepth

Compute read count data from BAM files.
ExomeDepth-class

Class ExomeDepth
initialize-methods

~~ Methods for Function initialize ~~
ExomeDepth-package

Read depth based CNV calls for exome DNA sequence data
show-methods

~~ Methods for Function show ~~
countBam.everted

Counts everted reads from a single BAM file
viterbi.hmm

Computes the Viterbi path for a hidden markov model
exons.hg19

Positions of exons on build hg19 of the human genome
exons.hg19.X

Positions of exons on build hg19 of the human genome and on chromosome X
AnnotateExtra-methods

Additional annotations for ExomeDepth objects
qbetabinom

Quantile for betabin function
AnnotateExtra

Add annotations to a ExomeDepth object
getBamCounts

Get count data for multiple exomes
get.power.betabinom

Estimate the power to compare two beta-binomial distributions.
qbetabinom.ab

Quantile function for the beta-binomial distribution
genes.hg19

Positions of genes on build hg19 of the human genome
select.reference.set

Combine multiple samples to optimize the reference set in order to maximise the power to detect CNV.