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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 |
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 |
Reference manual: | noisyr.pdf |
Vignettes: |
noisyR count matrix approach workflow |
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 imports: | bulkAnalyseR |
Please use the canonical form https://CRAN.R-project.org/package=noisyr to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.