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Bioconductor - uncoverappLib (development version)

uncoverappLib

This is the development version of uncoverappLib; for the stable release version, see uncoverappLib.

Interactive graphical application for clinical assessment of sequence coverage at the base-pair level

Bioconductor version: Development (3.22)

a Shiny application containing a suite of graphical and statistical tools to support clinical assessment of low coverage regions.It displays three web pages each providing a different analysis module: Coverage analysis, calculate AF by allele frequency app and binomial distribution. uncoverAPP provides a statisticl summary of coverage given target file or genes name.

Author: Emanuela Iovino [cre, aut], Tommaso Pippucci [aut]

Maintainer: Emanuela Iovino <emanuela.iovino at unibo.it>

Citation (from within R, enter citation("uncoverappLib")): Installation

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


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("uncoverappLib")

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

Documentation

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

browseVignettes("uncoverappLib")
Details biocViews Annotation, Coverage, Software, Visualization Version 1.19.0 In Bioconductor since BioC 3.12 (R-4.0) (4.5 years) License MIT + file LICENSE Depends Imports markdown, shiny, shinyjs, shinyBS, shinyWidgets, shinycssloaders, DT, Gviz, Homo.sapiens, openxlsx, condformat, stringr, org.Hs.eg.db, TxDb.Hsapiens.UCSC.hg38.knownGene, BiocFileCache, rappdirs, TxDb.Hsapiens.UCSC.hg19.knownGene, rlist, utils, S4Vectors, EnsDb.Hsapiens.v75, EnsDb.Hsapiens.v86, OrganismDbi, processx, Rsamtools, GenomicRanges System Requirements URL https://github.com/Manuelaio/uncoverappLib Bug Reports https://github.com/Manuelaio/uncoverappLib/issues See More Package Archives

Follow Installation instructions to use this package in your R session.

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