The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
A method that analyzes quality control metrics from multi-sample genomic sequencing studies and nominates poor quality samples for exclusion. Per sample quality control data are transformed into z-scores and aggregated. The distribution of aggregated z-scores are modelled using parametric distributions. The parameters of the optimal model, selected either by goodness-of-fit statistics or user-designation, are used for outlier nomination. Two implementations of the Cosine Similarity Outlier Detection algorithm are provided with flexible parameters for dataset customization.
Version: | 1.1.0 |
Depends: | R (≥ 2.10) |
Imports: | stats, utils, fitdistrplus, lsa, BoutrosLab.plotting.general |
Suggests: | knitr, rmarkdown, kableExtra, dplyr, testthat (≥ 3.0.0) |
Published: | 2024-03-01 |
DOI: | 10.32614/CRAN.package.OmicsQC |
Author: | Anders Hugo Frelin [aut],
Helen Zhu [aut],
Paul C. Boutros |
Maintainer: | Paul C. Boutros <PBoutros at mednet.ucla.edu> |
License: | GPL-2 |
NeedsCompilation: | no |
Materials: | NEWS |
CRAN checks: | OmicsQC results |
Reference manual: | OmicsQC.pdf |
Vignettes: |
Introduction to omicsQC |
Package source: | OmicsQC_1.1.0.tar.gz |
Windows binaries: | r-devel: OmicsQC_1.1.0.zip, r-release: OmicsQC_1.1.0.zip, r-oldrel: OmicsQC_1.1.0.zip |
macOS binaries: | r-release (arm64): OmicsQC_1.1.0.tgz, r-oldrel (arm64): OmicsQC_1.1.0.tgz, r-release (x86_64): OmicsQC_1.1.0.tgz, r-oldrel (x86_64): OmicsQC_1.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=OmicsQC 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.
Health stats visible at Monitor.