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Detection of Hard and Soft Sweeps from Population Genomic Data

Offered By: Computational Genomics Summer Institute CGSI via YouTube

Tags

Evolutionary Biology Courses Natural Selection Courses Drosophila Courses

Course Description

Overview

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Explore the detection of hard and soft sweeps in population genomic data through this informative conference talk by Nandita Garud at the Computational Genomics Summer Institute (CGSI2023). Delve into the concepts of hard and soft sweeps, focusing on Drosophila as a model organism. Examine the results and analysis, including the H2 divided by H1 statistic, and discover how adaptation is often a gradual process. Learn about the simulations used to support the findings and gain insights into the conclusions drawn from this research. Enhance your understanding of population genomics and evolutionary adaptation by exploring the related papers for further in-depth knowledge.

Syllabus

Intro
Hard and Soft Sweeps
Drosophila
Hard Soft Sweeps
Results
Analysis
H2 divided by H1
Adaptation is gradual
Simulations
Conclusion


Taught by

Computational Genomics Summer Institute CGSI

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