Last updated: 2017-01-03

Code version: d222594411724cecd242d834f8bcfee6488499c5



We study the role of interindividual genetic variation on gene regulatory phenotypes. In this context, we are interested in single cell gene expression data because we would like to characterize how genetic variation impacts the variability in cell-cell gene expression between individuals. In other words, whereas traditional eQTL mapping identifies associations between SNPs and mean gene expression levels, we’d like to idenitfy QTLs that are associated with the variance in gene expression levels. For this project, we are exploring multiple questions, including:

To view our results, read our paper Batch effects and the effective design of single-cell gene expression studies.

To learn more about our other research projects, visit our lab website.


We have created this website because we wanted to experiment with performing science in the open. From the beginning of the project all of our results have been posted to this site. By doing so, we hope that our results are more transparent and reproducible, and also more quickly communicated to the rest of the scientific community.


We made this website using many wonderful publicly available tools. We write the analyses using R Markdown, knitr, and pandoc. In fact, the initial template for this site was modeled after the R Markdown website. To host the site, we use GitHub Pages.

Note: This site was created before the rmarkdown package had helper functions for creating websites, and thus is more complicated than it would need to be if we were creating it today. If you’re interested in creating a similar site, start by reading the documentation on R Markdown Websites.