An event for bioinformaticians, biostatisticians and scientists looking to decode interplays in complex microbial systems
11-12 November 2024 | Boston
Presented by
Accurately modelling the Microbiome is of increasing importance as clinical and environmental research continues to show the pivotal roles microbes play in the health of humanity and the environment. However this requires the application of appropriate biostatistical methods and the development of new bioinformatic tools for analyzing large microbiome datasets. Many conferences focus on sharing results at the expense of discussing appropriate scientific methods. Microbiome research is among the few fields where erroneous biostatistics and bioinformatics analysis can lead to severe detrimental effects and or inappropriate conclusions. The Microbiome Data Congress of 2023 aims to address these gaps and give a space for researchers from industry and academia to discuss accurate and novel methods for analyzing microbiome datasets.
The 5th edition of Microbiome Data Congress is coming back to Boston in November (8-9) 2024 bringing together leaders from across academia and industry to discuss biostatistical methods and cutting-edge bioinformatic tools for advancing microbiome research and product commercialization.
Attendees will learn about biostatistical and bioinformatic challenges specific to the microbiome field, and will hear from top microbiome-focused research groups about a wide array of new bioinformatics software, workflows, and applications for analysing metagenomic data.
2024 Sessions
Integrating Dietary and Microbiome Data
Analysing and Interpreting Non-Bacterial Microbiome Data
Distinguishing Strains: Methodologies for Strain-level Analyses of Microbiomes
Methodologies for Modelling Host-Microbiome Interactions
Validating and Contrasting Analytical Tools and Statistical Methods
Deciphering Microbiome Biogeography: Longitudinal and Spatial Data
2024 Committee
Iowa State University
Columbia University
University of Arizona
Persephone Biosciences
Benjamin Callahan
Associate Professor, Microbiomes and Complex Microbial Communities
North Carolina State University
Adina Howe
Associate Professor
Sean Stromberg
Tal Korem
Assistant Professor
Bonnie Hurwitz
Associate Professor
Director of Computational Biology and Data Science