To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("yarn")
In most cases, you don't need to download the package archive at all.
This package is for version 3.4 of Bioconductor; for the stable, up-to-date release version, see yarn.
Bioconductor version: 3.4
Expedite large RNA-Seq analyses using a combination of previously developed tools. YARN is meant to make it easier for the user in performing basic mis-annotation quality control, filtering, and condition-aware normalization. YARN leverages many Bioconductor tools and statistical techniques to account for the large heterogeneity and sparsity found in very large RNA-seq experiments.
Author: Joseph N Paulson [aut, cre], Cho-Yi Chen [aut], Camila Lopes-Ramos [aut], Marieke Kuijjer [aut], John Platig [aut], Abhijeet Sonawane [aut], Maud Fagny [aut], Kimberly Glass [aut], John Quackenbush [aut]
Maintainer: Joseph N Paulson <jpaulson at jimmy.harvard.edu>
Citation (from within R,
enter citation("yarn")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("yarn")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("yarn")
R Script | YARN: Robust Multi-Tissue RNA-Seq Preprocessing and Normalization | |
Reference Manual | ||
Text | NEWS |
biocViews | Annotation, Clustering, GeneExpression, Normalization, Preprocessing, QualityControl, Sequencing, Software, Visualization |
Version | 1.0.1 |
In Bioconductor since | BioC 3.4 (R-3.3) (0.5 years) |
License | Artistic-2.0 |
Depends | Biobase |
Imports | biomaRt, downloader, edgeR, gplots, graphics, limma, matrixStats, preprocessCore, readr, RColorBrewer, stats, quantro |
LinkingTo | |
Suggests | knitr, rmarkdown, testthat (>= 0.8) |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | yarn_1.0.1.tar.gz |
Windows Binary | yarn_1.0.1.zip |
Mac OS X 10.9 (Mavericks) | yarn_1.0.1.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/yarn/tree/release-3.4 |
Package Short Url | http://bioconductor.org/packages/yarn/ |
Package Downloads Report | Download Stats |
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