Oral Presentation 39th Annual Lorne Genome Conference 2018

Accounting for systematic bias in bulk and single cell RNA-Seq data (#13)

Rafael Irizarry 1
  1. Dana-Farber Cancer Institute, Harvard University, Boston, MA, United States

In this talk I will demonstrate the presence of bias, systematic error and unwanted variability in next generation sequencing. I will show the substantial effects these have on downstream results and how they can lead to misleading biological conclusions. I will do this using data from the public repositories as well as our own. We will then describe some preliminary solutions to these problems.