Absolute Copy Number Estimation from Low-coverage Whole Genome Sequencing


[Up] [Top]

Documentation for package ‘ACE’ version 1.25.0

Help Pages

ACE-package ACE package
ACE ACE package
ACEcall Categorize and plot subclonal, single, and double gains / losses
analyzegenomiclocations Retrieve adjusted copy number information for specific genomic locations
compresstemplate Reduce the size of a template data frame
copyNumbersSegmented Segmented data of two tumor samples
correlationmatrix Create a correlation matrix of all samples in a QDNAseq-object
correlationmatrixadjusted Create a correlation matrix of all samples in a QDNAseq-object
forcesegmentsontemplate Custom resegmentation with user-defined segment information
getadjustedsegments Create a data frame with segment information corresponding to a model
linkvariants Append columns with total genomic copies and mutant copies to a file with variant/mutation data
loopsquaremodel Create 'squaremodel' summaries for all samples in a QDNAseq-object
objectsampletotemplate Converts data of a sample in a QDNAseq-object to a template for ACE functions
ploidyplotloop Absolute Copy number Estimation
postanalysisloop Batch analysis of samples in a QDNAseq-object for which models have been chosen
runACE Absolute Copy number Estimation
segmentstotemplate Create a template data frame from input that only provides segment information
singlemodel Calculate potential fits for a single sample
singleplot Plot an absolute copy number profile for a single sample
squaremodel Calculate potential fits for a single sample using ploidy as a variable
squaremodelsummary Create a graphical summary of the result of squaremodel fitting
templatefromequalsegments Create a template data frame with artificial segments of equal length
twosamplecompare Overlay copy number data of two samples and compare segment values