DNA Copy Number Analysis for Genome-Wide Tapestri Panels
Overview
Analysis of DNA copy number in single cells using custom genome-wide targeted DNA sequencing panels for the Mission Bio Tapestri platform. Users can easily parse, manipulate, and visualize datasets produced from the automated 'Tapestri Pipeline', with support for normalization, clustering, and copy number calling. Functions are also available to deconvolute multiplexed samples by genotype and parsing barcoded reads from exogenous lentiviral constructs.
Patched to handle tests failing to load GenomeInfoDb package dependency.
From NEWS.md in the release
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Namespace in Imports field not imported from: ‘GenomeInfoDb’ All declared Imports should be used.
- NOTE11 OK, 2 NOTE2026-09-24
- ERROR10 OK, 2 NOTE, 1 ERROR2026-09-17
- NOTE11 OK, 2 NOTE2026-05-10
- ERROR10 OK, 2 NOTE, 1 ERROR2026-05-03
- NOTE12 OK, 2 NOTE2026-03-16
Show 2 earlier changesHide 2 earlier changes
- ERROR12 OK, 1 NOTE, 1 ERROR2026-03-13
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
The repository also keeps web-only articles.
- Help pages
- 25 (1 internal)includes a package overview page
- Examples that run
- 79%19 run in a plain check · 3 only when donttest examples are enabled (R CMD check --as-cran) · 2 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 0%
Downloads
Repository
- PRs merged (all time)
- not measured
- Median days to close, 50 most recently updated closed issues
- 2
- Median days to close, 50 most recently updated closed PRs
- not measured
Stars over time
Forks over time
Releases over time
Issues over time
8 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/joeymays/karyotapr on 2026-10-11.
The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel
GitHub Pages site last deployed 2025-11-02 · The repository has a site deploy workflow
pkgdown site last built 2025-11-02
Dependencies
Installing karyotapR adds 50 packages (30 with compiled code, 48 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, dbscan 3.8 MB. 8 more not on CRAN are not measured.
Code & Tests
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 1.0.2Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 1.0.12023-09-07
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-09-07
- Total releases
- 2 / 3 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 4.1
- Download size
- 1.1 MB
Cite
Cite this package
Run in R for the authors' preferred citation:
citation("karyotapR")This package has no citation file, so citation() returns this entry built from DESCRIPTION.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.