uncoverappLib
Interactive graphical application for clinical assessment of sequence coverage at the base-pair level
Bioconductor version: Release (3.20)
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("uncoverappLib")
):
Installation
To install this package, start R (version "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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")
uncoverappLib | HTML | R Script |
Reference Manual | ||
NEWS | Text | |
LICENSE | Text |
Details
biocViews | Annotation, Coverage, Software, Visualization |
Version | 1.16.0 |
In Bioconductor since | BioC 3.12 (R-4.0) (4 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
Suggests | BiocStyle, knitr, testthat, rmarkdown, dplyr |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | uncoverappLib_1.16.0.tar.gz |
Windows Binary (x86_64) | uncoverappLib_1.16.0.zip |
macOS Binary (x86_64) | uncoverappLib_1.16.0.tgz |
macOS Binary (arm64) | uncoverappLib_1.16.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/uncoverappLib |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/uncoverappLib |
Bioc Package Browser | https://code.bioconductor.org/browse/uncoverappLib/ |
Package Short Url | https://bioconductor.org/packages/uncoverappLib/ |
Package Downloads Report | Download Stats |