Copy number analysis of high-throughput sequencing cancer data with fast summarization, extensive filtering and improved normalization
|Date of publication||None|
|Maintainer||David Mosen-Ansorena <email@example.com>|
applyFilters: The function applies a set of filters to the raw profile.
applyThresholds: Apply thresholds on the segmented profile in order to call...
plotCNProfile: Plots the profile of a 'SeqCNAInfo-class' object.
readSeqsumm: Function that reads seqsumm summarized files.
runGLAD: Wrapper function that runs the GLAD segmentation algorithm on...
runSeqnorm: This function calls seqnorm, which normalizes the tumoural...
runSeqsumm: Function that generates seqsumm summarized files.
SeqCNAInfo-class: Class '"SeqCNAInfo"'
seqCNA-package: Copy number analysis of deep sequencing cancer data
seqsumm_HCC1143: Example of a seqsumm output, namely for a sequenced sample of...
writeCNProfile: Outputs the processed profile of a 'SeqCNAInfo-class' object...