Welcome Remarks by Eric Alm and Rich Bonneau

Embracing Ambiguity In The Taxonomic Classification Of Microbiome Sequencing Data Room: Nidhi Shah

Metagenomics Strain Resolution On Assembly Graphs Room: Christopher Quince

Pangenome Graph Structures Reveal More Genetic Variation Between Divergent Genomes Room: Rachel Colquhoun

Multi-Resolution Phylogenetic Analysis Of Known And Unexplored Members Of The Human Microbiome With PhyloPhlAn2 Room: Francesco Asnicar

Environmental Selection Of Butyrate Producers Drives Genetic But Not Species Convergence Room: Anni Zhang

Spatial Metagenomic Characterization Of Microbial Biogeography In The Gut Room: Ravi Sheth

Challenges And Approaches To System-Level Investigation In The HIV-Associate Microbiome And Metabolic Health Room: Abigail Armstrong

Meta-Analysis Of Colorectal Cancer Metagenomics Studies Reveals Robust Microbial Biomarkers Room: Jakob Wirbel

FEAST: Fast Expectation-Maximization For Microbial Source Tracking Room: Liat Shenhav

Controlling For Spurious Associations In Case-Control Microbiome Studies Room: Rajita Menon

Structural Variation In The Gut Microbiome Associates With Host Health Room: Tal Korem

Methods For Statistical Inference With Predicted Outcome Data Room: Siruo Wang

Computational Non-Ribosomal Peptide Antibiotic Discovery: Metabolomics Meets Microbiome Room: Bahar Behsaz

Discovering Novel Small Molecules From Microbial Communities By Integrating Computational Mass Spectrometry And Metagenome Mining Room: Hosein Mohimani

Learning Accurate Representations Of Microbe-Metabolite Interactions Room: Jamie Morton

A Machine Learning Framework Reveals Common Molecular Interactions Between Gut Microbiome And Host Genes Across Human Disease States Room: Sambhawa Priya

Geometric Deep Learning Methods For Large-Scale Structure-Based Function Prediction Of Microbial Proteins Room: Vladimir Gligorijevic

The Second Round Of CAMI Challenges Room: Andreas Bremges

Opening Remarks by Rob Knight

A Scale Normalization Strategy For The Correction Of Compositional Bias In Sparse Sequencing Count Data Room: Senthil Kumar Muthiah

Bayesian Inference For Removing Contamination In Microbiome Studies Room: Pratheepa Jeganathan

Consistent And Correctable Bias In Metagenomic Sequencing Measurements Room: Benjamin Callahan

A Probabilistic Compositional Effect Size Metric For Use In Microbiome Datasets Room: Greg Gloor

Detecting and Correcting for Differential Detection Effects in 16S Data Room: David Clausen

Phylofactorization - Identifying Lineages Of Interest In Microbiome Datasets Room: Alex Washburne

Selbal: An R Package For The Identification Of Microbial Signatures Room: Javier Rivera-Pinto

Balance Regression In Microbiome Studies Using Stochastic Search Room: Lu Huang

Weighted Kernel Machine Regression For Microbiome Compositional Data Analysis Room: M. Luz Calle

Challenges In The Analyses Of Multidomain Longitudinal Data: Layered Solutions. Room: Susan P. Holmes

Near-Causal Inference With Time-Ordered Association Testing For Multiomic Time Series Room: Christian Diener

A Generic Multivariate Framework For The Integration Of Microbiome Longitudinal Studies With Other Data Types Room: Antonie Bodein

A Bayesian, Probabilistic Method For Analyzing Multinomially Distributed Data. Room: Joshua Harrison

Joint Modeling Of Longitudinal Microbiome And Time-To-Event Data With Application To A Type I Diabetes Study Room: Jiyuan Hu

Scalable Bayesian Multinomial Logistic-Normal Models For The Analysis Of Microbiome Data Room: Justin Silverman

Robust And Scalable Models Of Microbiome Dynamics Room: Travis Gibson

Elucidating Microbial Spatiotemporal Dynamics With Compositional Tensor Factorization Room: Cameron Martino

QIIME 2 Enables Robust And Reproducible Bioinformatics Room: Evan Bolyen

Closing Remarks by Eric Alm, Rich Bonneau & Rob Knight