Package: RCNA 1.0

Matt Bradley

RCNA: Robust Copy Number Alteration Detection (RCNA)

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.

Authors:Matt Bradley [aut, cre]

RCNA_1.0.tar.gz
RCNA_1.0.tar.gz(r-4.5-noble)RCNA_1.0.tar.gz(r-4.4-noble)
RCNA_1.0.tgz(r-4.4-emscripten)RCNA_1.0.tgz(r-4.3-emscripten)
RCNA.pdf |RCNA.html
RCNA/json (API)
NEWS

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

Peer review:

Datasets:

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

2.70 score 5 scripts 263 downloads 7 exports 22 dependencies

Last updated 2 months agofrom:98c2e3c997. Checks:2 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 03 2025
R-4.5-linuxOKJan 03 2025

Exports:correct_gc_biascreate_RCNA_objectestimate_feature_scoreestimate_nkrRCNA_analysisRCNA_objectrun_RCNA

Dependencies:clueclustercodetoolsdata.tabledoParallelfBasicsforeachgssiteratorsMASSmodeestR.methodsS3R.ooR.utilsrmutilrpartspatialstablestablediststatiptimeDatetimeSeries

Detecting Copy Number Variation on Targeted Exon Sequencing with RCNA

Rendered fromtes-rcna-example.Rmdusingknitr::rmarkdownon Jan 03 2025.

Last update: 2024-12-03
Started: 2024-12-03

Readme and manuals

Help Manual

Help pageTopics
correct_gc_bias: Estimate and correct GC bias in coveragecorrect_gc_bias correct_gc_bias.default correct_gc_bias.RCNA_object
RCNA_object constructorcreate_RCNA_object
estimate_feature_score: Estimate CNV score for each gene in the annotation fileestimate_feature_score estimate_feature_score.default estimate_feature_score.RCNA_object
estimate_nkr: Estimate CNA "normal" karyotype rangesestimate_nkr estimate_nkr.default estimate_nkr.RCNA_object
Example RCNA_objectexample_obj
RCNA_analysis constructorRCNA_analysis RCNA_analysis-class
RCNA.object definitionRCNA_object RCNA_object-class
run_RCNA: Perform RCNA copy number detection workflowrun_RCNA run_RCNA.default run_RCNA.RCNA_object