Data Science for High-Throughput Sequencing
A graduate course on the computational problems of high-throughput sequencing — genome assembly, RNA-seq quantification, single-cell analysis, and more — and the tools from statistics, computer science, and information theory used to solve them.
Instructor: David Tse, with Govinda M. Kamath and Jesse M. Zhang
Term: Winter
Location: Stanford University
I co-developed and helped teach this course with my PhD advisor David Tse and Jesse M. Zhang. The course covers various problems in computational genomics, the different ways of modelling them and solving them, with tools from statistics, computer science and information theory that have been instrumental in tackling these problems.
Course website: data-science-sequencing.github.io · Source