Numerical and graphical summaries of RNA-Seq read data. Within-lane normalization procedures to adjust for GC-content effect (or other gene-level effects) on read counts: loess robust local regression, global-scaling, and full-quantile normalization (Risso et al., 2011). Between-lane normalization procedures to adjust for distributional differences between lanes (e.g., sequencing depth): global-scaling and full-quantile normalization (Bullard et al., 2010).
|Author||Davide Risso [aut, cre, cph], Sandrine Dudoit [aut], Ludwig Geistlinger [ctb]|
|Bioconductor views||DifferentialExpression ImmunoOncology Preprocessing QualityControl RNASeq Sequencing|
|Maintainer||Davide Risso <[email protected]>|
|Package repository||View on Bioconductor|
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