DESeq2

DESeq2 in Galaxy

DESeq2 is a R package (statistical analysis package) that enables analysis of the txt formatted quantified sequences by generating different visual formats of the data including:

• PCA (Principal Component Analysis) Plot - Plots the multiple correlation or lack there of among the variables in the data into a 2D graph, a dimension reduction method of analyzing large data.

• Sample-to-Sample distances - A box color representation of comparisons of self sample compared to self and others, the intensity of color changes with high intensity representing self compared to self.

• Dispersion Estimates - Plot shows the dispersion of data thus the variability of sequences as a function of mean normalized read counts.

• Histogram of p-values - A histogram graph of the distribution of millions of p-values with the peak closer to zero representing significant variability.

• MA plot - Visual representation of the data plotted as fold change in log scales and the mean normalized counts

** See subpages for data analysis information