2021 Fall
CMPBIO 290 001 - LEC 001
Special Topics - Computational Biology
Algorithms for single-cell genomics
Yun S Song, Yutong Wang
Class #:19234
Units:2
Instruction Mode:
In-Person Instruction
Offered through
Computational Biology Graduate Group
Current Enrollment
Total Open Seats:
21
Enrolled: 19
Waitlisted: 0
Capacity: 40
Waitlist Max: 5
No Reserved Seats
Other classes by Yun S Song
Course Catalog Description
A graduate seminar class in which students closely examine recent computational methods in molecular and systems biology, for example for modeling mechanisms related to the regulation of gene expression and/or high-throughput sequencing data. The course will focus on computational methodology but will also cover relevant and interesting biological applications.
Class Description
This graduate course will cover a range of current topics in single-cell genomics, with an emphasis on algorithms and statistical methods. Example topics to be discussed include single-cell transcriptomics, spatial genomics, trajectory inference, lineage tracing, and integrative analysis of multi-omics data.
Rules & Requirements
Repeat Rules
Reserved Seats
Current Enrollment
No Reserved Seats
Textbooks & Materials
See class syllabus or https://calstudentstore.berkeley.edu/textbooks for the most current information.
Guide to Open, Free, & Affordable Course Materials
Associated Sections
None