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This includes reading the data into\nR, merging it with paired single-cell data, quantifying\nclonotype abundances, calculating diversity metrics, and\nproducing common plots. It implements the E-M Algorithm for\nclonotype assignment, along with other methods, which makes use\nof ambiguous cells for improved quantification.", "License": "Artistic-2.0", "URL": "https://github.com/kstreet13/VDJdive", "BugReports": "https://github.com/kstreet13/VDJdive/issues", "biocViews": "Software, ImmunoOncology, SingleCell, Annotation, RNASeq,\nTargetedResequencing", "Encoding": "UTF-8", "LazyData": "false", "Roxygen": "list(markdown = TRUE)", "StagedInstall": "no", "VignetteBuilder": "knitr", "Config/Bioconductor/UnsupportedPlatforms": "windows", "Collate": "'RcppExports.R' 'clonoStats_class.R' 'abundanceVDJ.R'\n'barVDJ.R' 'boxVDJ.R' 'calculateDiversity.R'\n'clonoStats_helpers.R' 'clonoStats.R' 'contigs.R' 'pieVDJ.R'\n'runBreakaway.R' 'runVDJPCA.R' 'scatterVDJ.R' 'setup.R'\n'utils.R'", "Config/roxygen2/version": "8.1.0", "Config/pak/sysreqs": "zlib1g-dev", "Repository": "https://bioc.r-universe.dev", "Date/Publication": "2026-08-27 22:28:28 UTC", "RemoteUrl": 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