DOI: 10.18129/B9.bioc.yarn    

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

Bioconductor version: Release (3.7)

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>

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PDF R Script YARN: Robust Multi-Tissue RNA-Seq Preprocessing and Normalization
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biocViews Annotation, Clustering, GeneExpression, Normalization, Preprocessing, QualityControl, Sequencing, Software, Visualization
Version 1.6.0
In Bioconductor since BioC 3.4 (R-3.3) (1.5 years)
License Artistic-2.0
Depends Biobase
Imports biomaRt, downloader, edgeR, gplots, graphics, limma, matrixStats, preprocessCore, readr, RColorBrewer, stats, quantro
Suggests knitr, rmarkdown, testthat (>= 0.8)
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Imports Me
Suggests Me
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Source Package yarn_1.6.0.tar.gz
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Package Short Url http://bioconductor.org/packages/yarn/
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