noisyr: Noise Quantification in High Throughput Sequencing Output

Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are used, one based on the count matrix, and one using the alignment BAM files directly. Contains several options for every step of the process, as well as tools to quality check and assess the stability of output.

Version:	1.0.0
Depends:	R (≥ 3.1.2)
Imports:	utils, grDevices, tibble, dplyr, magrittr, ggplot2, preprocessCore, IRanges, GenomicRanges, Rsamtools, philentropy, doParallel, foreach
Suggests:	testthat, roxygen2, knitr, rmarkdown
Published:	2021-04-16
Author:	Ilias Moutsopoulos [aut, cre], Irina Mohorianu [aut, ctb], Hajk-Georg Drost [ctb], Elze Lauzikaite [ctb]
Maintainer:	Ilias Moutsopoulos <im383 at cam.ac.uk>
BugReports:	https://github.com/Core-Bioinformatics/noisyR/issues
License:	GPL-2
URL:	https://github.com/Core-Bioinformatics/noisyR
NeedsCompilation:	no
Materials:	README
CRAN checks:	noisyr results

Documentation:

Reference manual:	noisyr.pdf
Vignettes:	noisyR count matrix approach workflow

Downloads:

Package source:	noisyr_1.0.0.tar.gz
Windows binaries:	r-prerel: noisyr_1.0.0.zip, r-release: noisyr_1.0.0.zip, r-oldrel: noisyr_1.0.0.zip
macOS binaries:	r-prerel (arm64): noisyr_1.0.0.tgz, r-release (arm64): noisyr_1.0.0.tgz, r-oldrel (arm64): noisyr_1.0.0.tgz, r-prerel (x86_64): noisyr_1.0.0.tgz, r-release (x86_64): noisyr_1.0.0.tgz
Old sources:	noisyr archive

Reverse dependencies:

Reverse imports:

bulkAnalyseR

Linking:

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