plot-pca.R
log <- file(snakemake@log[[1]], open="wt")
sink(log)
sink(log, type="message")
library("DESeq2")
# load deseq2 data
dds <- readRDS(snakemake@input[[1]])
# obtain normalized counts
counts <- rlog(dds, blind=FALSE)
svg(snakemake@output[[1]])
plotPCA(counts, intgroup=snakemake@params[["pca_labels"]])
dev.off()