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BOBaFIT

This is thereleased version of BOBaFIT; for the devel version, seeBOBaFIT.

Refitting diploid region profiles using a clustering procedure

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DOI: 10.18129/B9.bioc.BOBaFIT


Bioconductor version: Release (3.22)

This package provides a method to refit and correct the diploid region in copy number profiles. It uses a clustering algorithm to identify pathology-specific normal (diploid) chromosomes and then use their copy number signal to refit the whole profile. The package is composed by three functions: DRrefit (the main function), ComputeNormalChromosome and PlotCluster.

Author: Andrea Poletti [aut], Gaia Mazzocchetti [aut, cre], Vincenza Solli [aut]

Maintainer: Gaia Mazzocchetti <bioinformatic.seragnoli at gmail.com>

Citation (from within R, entercitation("BOBaFIT")):

Installation

To install this package, start R (version "4.5") and enter:

if (!require("BiocManager", quietly = TRUE))    install.packages("BiocManager")BiocManager::install("BOBaFIT")

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("BOBaFIT")
BOBaFIT.RmdHTMLR Script
Data preparation using TCGA-BRCA database.RmdHTMLR Script
Reference ManualPDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsClustering,CopyNumberVariation,Normalization,Software,Visualization
Version1.14.0
In Bioconductor sinceBioC 3.15 (R-4.2) (3.5 years)
LicenseGPL (>= 3)
DependsR (>= 2.10)
Importsdplyr,NbClust,ggplot2,ggbio, grDevices, stats,tidyr,GenomicRanges,ggforce,stringr,plyranges, methods, utils,magrittr
System Requirements
URLhttps://github.com/andrea-poletti-unibo/BOBaFIT
Bug Reportshttps://github.com/andrea-poletti-unibo/BOBaFIT/issues
See More
Suggestsrmarkdown,markdown,BiocStyle,knitr,testthat (>= 3.0.0), utils,testthat
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageBOBaFIT_1.14.0.tar.gz
Windows Binary (x86_64) BOBaFIT_1.14.0.zip (64-bit only)
macOS Binary (x86_64)BOBaFIT_1.14.0.tgz
macOS Binary (arm64)BOBaFIT_1.14.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/BOBaFIT
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/BOBaFIT
Bioc Package Browserhttps://code.bioconductor.org/browse/BOBaFIT/
Package Short Urlhttps://bioconductor.org/packages/BOBaFIT/
Package Downloads ReportDownload Stats

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