Computational challenges of single cell profiling
Readings due before class on Tuesday, September 8, 2020
Required
[Macosko et al (2015) Cell] (https://www.cell.com/fulltext/S0092-8674%2915%2900549-8)(Please watch video and try to undestand up to Figures 1, 2, and S2. You don’t need to read the whole paper.)
Recommended Reading
Laehnemann et al. (2020) Elevn grand challenges in single-cell data science. Genome Biology (Try to understand the intuition of each of the 11 challenges.)
Trapnell (2018) Defining cell types and states with single-cell genomes. Genome Research
Action items
Assignment #4
Project
Start to prepare for final
Points of Reflection
How can Simpson’s paradoxes be resolved with single cell sequencing?
What are the reasons that isogenic cells vary from individual to individual? in mammalian tissue? in bacteria or fungal populations?
In your area of interest, how could single cell technologies and analytics assist in our understanding of important biologies?