Robust Copy Number Alteration Detection (RCNA)
Overview
Detects copy number alteration events in targeted exon sequencing data for tumor samples without matched normal controls. The advantage of this method is that it can be applied to smaller sequencing panels including evaluations of exon, transcript, gene, or even user specified genetic regions of interest. Functions in the package include steps for GC-content correction, calculation of quantile based normal karyotype ranges, and calculation of feature score. Cutoffs for "normal" quantile and score are user-adjustable.
Install
Health
- OK13 OK2026-09-08
- ERROR12 OK, 1 ERROR2026-09-07
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 8
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 71%
- Documented parameters
- 100%
- Return-value docs
- 71%
- Help pages citing references
- 0%
Downloads
Dependencies
Installing RCNA adds 17 packages (7 with compiled code, 11 MB of source tarballs). Heaviest: data.table 5.7 MB, timeSeries 1.4 MB, fBasics 917 KB.
Code & Tests
Datasets
People & History
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- 1.0Latest2024-12-03 · current release
- RR 4.4.0 released · 2024-04-24
Package metadata
- First published
- 2024-12-03
- Total releases
- 1 / 2 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 0.7 KB / 1 file
- Download size
- 60 KB
Cite
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Run in R for the authors' preferred citation:
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