Automating RNA sequencing analysis with AutoRNAseq (opens in new tab)

As RNA sequencing becomes more widely used, researchers are generating massive amounts of data. While this creates new opportunities to understand biology and disease, it also introduces a challenge, how to process all of this data in a consistent and reproducible way across different experiments. Researchers at the University of Nebraska-Lincoln have developed a ...