yeastGC


            This data set gives the GC-content (proportion of G and C) of the genes of <em>S. Cerevisiae</em>,
	    from SGD release 64 annotation. 


datasets

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).

Davide Risso

EDASeq

Exploratory Data Analysis and Normalization for RNA-Seq

yeastGC function

Format

SGD release 64: <a href="http://www.yeastgenome.org">http://www.yeastgenome.org</a>

Source

This data set gives the GC-content (proportion of G and C) of the genes of <em>S. Cerevisiae</em>,
	    from SGD release 64 annotation.

yeastGC: GC-content of S. Cerevisiae genes

Description

Usage

Arguments

Format

Source