Tools for Analyzing Sequencing Data with Unique Molecular Identifiers


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Documentation for package ‘umiAnalyzer’ version 1.0.0

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addMetaData Add metaData
addUmiSample Add UMI sample to an existing experiment object
AmpliconHeatmap Amplicon heatmap
AmpliconPlot Generate Amplicon plots
BarcodeFamilyHistogram Consensus depth histograms
beta_binom Beta binomial model
callVariants callVariants using beta binomial distribution
createUmiExperiment Method for creating a UMI experiment object
createUMIexperiment_Debarcer Method for creating a UMI experiment object
createUmiSample createUmiSample
createUMIsample_Debarcer Method for creating a UMIsample object
download_template Download meta data template
filterUmiObject Method for filtering UMIexperiment and sample objects
filterVariants Filter variants based on p values or depth
findConsensusReads Find consensus reads A function to analyze consensus read tables generated with parseBamFiles or a UMIexperiment object containing reads.
generateVCF Generate VCF file from UMI sample or UMI experiment object
getFilteredData Method for retrieving filtered data
getMetaData Retrieve meta data by name.
importBedFile Import bed file
importDesign Import experimental design meta data such as replicates, treatments, categorical variables.
mergeAssays Merge assays
parseBamFiles Function to parse bam files
QCplot Generate QC plots
runUmiVisualizer Function to run the umiVisualizer shiny app
saveConsData Save consensus data
simsen UMIexperiment data generated with SiMSen-Seq
timeSeriesGrid Plot time series data
UmiCountsPlot Plot UMI counts
UMIexperiment UMIexperiment class
UMIexperiment-class UMIexperiment class
UMIsample UMIsample class
UMIsample-class UMIsample class