Package: HMMcopy 1.47.0

Daniel Lai

HMMcopy: Copy number prediction with correction for GC and mappability bias for HTS data

Corrects GC and mappability biases for readcounts (i.e. coverage) in non-overlapping windows of fixed length for single whole genome samples, yielding a rough estimate of copy number for furthur analysis. Designed for rapid correction of high coverage whole genome tumour and normal samples.

Authors:Daniel Lai, Gavin Ha, Sohrab Shah

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HMMcopy.pdf |HMMcopy.html
HMMcopy/json (API)

# Install 'HMMcopy' in R:
install.packages('HMMcopy', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On BioConductor:HMMcopy-1.47.0(bioc 3.20)HMMcopy-1.46.0(bioc 3.19)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

bioconductor-package

12 exports 3.31 score 1 dependencies 1 dependents 18 mentions

Last updated 2 months agofrom:3256bd7984

Exports:correctReadcountHMMsegmentplotBiasplotCorrectionplotParamplotSegmentsrangedDataToSegrangedDataToWigstateColswigsToRangedDatawigToArraywigToRangedData

Dependencies:data.table

HMMcopy

Rendered fromHMMcopy.Rnwusingutils::Sweaveon Jul 03 2024.

Last update: 2021-11-22
Started: 2013-11-01

Readme and manuals

Help Manual

Help pageTopics
Bias-free copy number estimation and robust CNA detection in tumour samples from WGS HTS dataHMMcopy-package HMMcopy
Readcount correction for GC and mappability biascorrectReadcount
HMMcopy example datasetHMMcopy-dataset normal_copy tumour tumour_copy tumour_param tumour_reads tumour_segments
Segmentation and classification of copy number profilesHMMsegment
Visualization functions for correctReadcount resultsplotBias plotCorrection plotParam plotSegments stateCols
WIG Import FunctionswigToArray wigToRangedData
WIG Output FunctionsrangedDataToSeg rangedDataToWig
Parsing and sorting of uncorrected read and sequence information fileswigsToRangedData