Source: r-bioc-titancna Maintainer: Debian R Packages Maintainers Uploaders: Andreas Tille Section: gnu-r Testsuite: autopkgtest-pkg-r Priority: optional Build-Depends: debhelper-compat (= 13), dh-r, r-base-dev, r-bioc-biocgenerics (>= 0.31.6), r-bioc-iranges (>= 2.6.1), r-bioc-genomicranges (>= 1.24.3), r-bioc-variantannotation (>= 1.18.7), r-cran-foreach (>= 1.4.3), r-bioc-genomeinfodb (>= 1.8.7), r-cran-data.table (>= 1.10.4), r-cran-dplyr Standards-Version: 4.5.1 Vcs-Browser: https://salsa.debian.org/r-pkg-team/r-bioc-titancna Vcs-Git: https://salsa.debian.org/r-pkg-team/r-bioc-titancna.git Homepage: https://bioconductor.org/packages/TitanCNA/ Rules-Requires-Root: no Package: r-bioc-titancna Architecture: any Depends: ${R:Depends}, ${shlibs:Depends}, ${misc:Depends} Recommends: ${R:Recommends} Suggests: ${R:Suggests} Description: Subclonal copy number and LOH prediction from whole genome sequencing Hidden Markov model to segment and predict regions of subclonal copy number alterations (CNA) and loss of heterozygosity (LOH), and estimate cellular prevalence of clonal clusters in tumour whole genome sequencing data.