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This is the development version of yarn; for the stable release version, see yarn.

YARN: Robust Multi-Condition RNA-Seq Preprocessing and Normalization

Bioconductor version: Development (3.20)

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 <paulson.joseph at>

Citation (from within R, enter citation("yarn")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:

YARN: Robust Multi-Tissue RNA-Seq Preprocessing and Normalization PDF R Script
Reference Manual PDF


biocViews Annotation, Clustering, GeneExpression, Normalization, Preprocessing, QualityControl, Sequencing, Software, Visualization
Version 1.31.0
In Bioconductor since BioC 3.4 (R-3.3) (8 years)
License Artistic-2.0
Depends Biobase
Imports biomaRt, downloader, edgeR, gplots, graphics, limma, matrixStats, preprocessCore, readr, RColorBrewer, stats, quantro
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Suggests knitr, rmarkdown, testthat (>= 0.8)
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Source Package yarn_1.31.0.tar.gz
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