# RNAseqQC

The goal of RNAseqQC is to aid quality control of RNAseq data by
providing a collection of data visualization functions. It allows
identification of samples with unwanted biological or technical effects
and to explore differential testing results.

## Installation

You can install the released version of RNAseqQC from CRAN with:

`install.packages("RNAseqQC")`

## Example

This is a basic example in which we make a library complexity plot
and then compare some samples to the median reference of their
respective group:

```
library(RNAseqQC)
library("DESeq2")
dds <- makeExampleDESeqDataSet(n=10000, m=30)
plot_library_complexity(dds)
vsd <- vst(dds)
dds$condition
plot_sample_MAs(vsd, group = "condition")[c(1,2,16,17)]
```