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

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.

Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("yarn")
AuthorJoseph 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]
Bioconductor views Annotation Clustering GeneExpression Normalization Preprocessing QualityControl Sequencing Software Visualization
Date of publicationNone
MaintainerJoseph N Paulson <jpaulson@jimmy.harvard.edu>
LicenseArtistic-2.0
Version1.0.1

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