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Inference from Single Cell Lineage Tracing Data Generated via Genome Editing

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Phylogenetics Courses Bioinformatics Courses Evolutionary Biology Courses Computational Biology Courses CRISPR Courses Genome Editing Courses Single-Cell Analysis Courses

Course Description

Overview

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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

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