Inference from Single Cell Lineage Tracing Data Generated via Genome Editing
Offered By: Computational Genomics Summer Institute CGSI via YouTube
Course Description
Overview
Explore a lecture on inference techniques for single cell lineage tracing data generated through genome editing. Delve into various lineage tracing methods, including C9 and C12 approaches, and examine key design parameters. Analyze mutation states, continuous St Ma of CH, and branch length concepts. Investigate real data applications, time points, and tree variations. Learn about phenetic association and system methods related to lineage tracing. Gain insights from related research papers on lineage tracing in tumor evolution and single-cell phylogenies.
Syllabus
Introduction
Lineage Tracing
Lineage Tracing Methods
C9 Lineage Tracing Methods
C12 Lineage Tracing Methods
Design Parameters
Outline
Data
Mutation States
Continuous St Ma of CH
Two Sites
Branch Length
Photime
Real Data
Time Points
Variation
Tree
Small Detail
Acknowledgement
Phenetic Association
System Methods
Taught by
Computational Genomics Summer Institute CGSI
Related Courses
Synapses, Neurons and BrainsHebrew University of Jerusalem via Coursera Моделирование биологических молекул на GPU (Biomolecular modeling on GPU)
Moscow Institute of Physics and Technology via Coursera Bioinformatics Algorithms (Part 2)
University of California, San Diego via Coursera Biology Meets Programming: Bioinformatics for Beginners
University of California, San Diego via Coursera Neuronal Dynamics
École Polytechnique Fédérale de Lausanne via edX