DOI: 10.18129/B9.bioc.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 (3.17)

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")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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biocViews Annotation, Coverage, Software, Visualization
Version 1.9.0
In Bioconductor since BioC 3.12 (R-4.0) (2 years)
License MIT + file LICENSE
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
Suggests BiocStyle, knitr, testthat, rmarkdown, dplyr
URL https://github.com/Manuelaio/uncoverappLib
BugReports https://github.com/Manuelaio/uncoverappLib/issues
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