Explore an innovative statistical test for detecting microbial presence or absence in metagenomes through this informative conference talk. Delve into the YACHT (Yet Another Comparison Hypothesis Test) method, an Average Nucleotide Identity (ANI) based approach presented by David Koslicki at the Computational Genomics Summer Institute (CGSI) 2024. Learn about the development and application of this novel technique, which addresses the challenges of identifying microbial species in complex metagenomic samples. Gain insights into the statistical foundations of YACHT and its potential impact on microbiome research and metagenomics analysis. Discover how this method compares to existing approaches and its implications for understanding microbial community composition. Examine related research papers that provide context and additional information on topics such as synthetic microbiota, mutation rate confidence intervals, and functional profiling using FracMinHash sketches.
YACHT: An ANI-Based Statistical Test to Detect Microbial Presence or Absence in Metagenomes
Computational Genomics Summer Institute CGSI via YouTube
Overview
Syllabus
David Koslicki | YACHT: an ANI based statistical test to detect microbial presence ... | CGSI 2024
Taught by
Computational Genomics Summer Institute CGSI