Category: 2017 WS Online Lectures

Using networks to link genotype to phenotype – John Quackenbush

The problem with genome-wide association studies (GWAS) is dramatically illustrated in two recent publications. The first analyzed data from 253,288 individuals and found that 697 single nucleotide polymorphisms (SNPs) could explain about 20% of human height variability, but approximately 9,500 … Read more


A primer on single-cell RNA-seq analysis – Matthew Ritchie

In this talk I will give an overview of the different technologies and data that arise from single-cell RNA-sequencing technology and discuss the low-level analyses of such data. Pre-processing methodologies, dimension reduction and other statistical methods for higher-level analyses will … Read more