Noise Quantification in High Throughput Sequencing Output [R package noisyr version 1.0.0]

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年04月16日

DOI: 10.32614/CRAN.package.noisyr

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.html , noisyr.pdf

Vignettes: noisyR count matrix approach workflow (source, R code)

Downloads:

Package source: noisyr_1.0.0.tar.gz

Windows binaries: r-devel: noisyr_1.0.0.zip, r-release: noisyr_1.0.0.zip, r-oldrel: noisyr_1.0.0.zip

macOS binaries: r-release (arm64): noisyr_1.0.0.tgz, r-oldrel (arm64): noisyr_1.0.0.tgz, r-release (x86_64): noisyr_1.0.0.tgz, r-oldrel (x86_64): noisyr_1.0.0.tgz

Old sources: noisyr archive

Reverse dependencies:

Reverse imports: bulkAnalyseR

Linking:

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