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1
Intro
2
A (weighted) tree defines a metric space
3
An additive metric space
4
How to get distances: Hamming distance?
5
Statistical distance correction
6
Inferring a tree from additive distances (the naive quartet approach)
7
Practical methods
8
Remarkably strong asymptotic theoretical results
9
Phylogenetic Placement (PP)
10
Application: ecological sample identification (e.g., microbiome)
11
Sample identification using genome skimming
12
Two-step summary methods
13
Deep Learning for Phylogenetic Placement (DEPP)
14
Food for thought
15
Questions?
Description:
Explore the evolution of distance-based phylogenetics in this comprehensive tutorial from the Computational Genomics Summer Institute. Delve into the foundations of weighted tree metrics and additive metric spaces before examining methods for obtaining distances, including Hamming distance and statistical distance correction. Learn about inferring trees from additive distances using the naive quartet approach and practical methods with strong asymptotic theoretical results. Discover applications in phylogenetic placement, such as ecological sample identification in microbiome studies and genome skimming. Investigate two-step summary methods and the cutting-edge use of deep learning for phylogenetic placement (DEPP). Gain insights into current challenges and future directions in the field, with references to key research papers for further study.

Distance-Based Phylogenetics: Past, Present, and Future - CGSI 2022

Computational Genomics Summer Institute CGSI
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