WoM 2023 Workshops
Part of the scientific program of this year’s World of Microbiome Conference are two not-to-miss workshops. Scroll down to learn more about each of them and secure your place for these outstanding sessions.
*Registration for the workshops is available only to WoM 2023 registered onsite participants. Places are limited and additional registration fee for each workshop applies.
You can proceed to your registration here.
Workshop attendees will need to bring only a laptop with installed browser.
1. Microbiome study design (with active learning)
- human clinical studies & basics of human study design
- animal models for “humanized” microbiome manipulation
- special case of low biomass samples
2. Statistics (with active learning)
- power analysis
- clinical metadata considerations
- basic biostats for human studies
3. Sample collections – animal; human; organizing samples
4. Data projection and visualization
Professor and Principal Investigator, Department of Obstetrics and Gynecology, Baylor College of Medicine, USA
Professor and Principal Investigator, Azrieli Faculty of Medicine, Bar Ilan University, Israel
Researcher and Lab Manager, Koren Lab, Azrieli Faculty of Medicine, Bar-Ilan University, Israel
Assistant Professor, Baylor College of Medicine, USA
PhD candidate, Baylor College of Medicine, USA
1. Intro into Computational Metagenomics
2. Setting of the the computational environment
3. Quantitative taxonomic profiling of metagenomices with MetaPhlAn
4. Strain-level microbiome analysis with StrainPhlAn
5. Integrated analyses and meta-analyses with curatedMetagenomicData
This course will provide an introduction to the profiling of microbial communities from shotgun WGS samples, through a combination of lectures and hands-on lab sessions. Course participants will learn how to process raw sequencing reads through state of the art bioinformatic methods in order to extract the fundamental infromation about taxonomical profiles, strain identification and tracking. With the use of integrative statistical analysis, comparison of different samples and environments will be performed, aimed at the extraction of quantitative biological results.
Professor and Principal Investigator, Department CIBIO, University of Trento, Italy
Postdoctoral Researcher in CIBIO, University of Trento, Italy
PhD candidate, Department CIBIO, University of Trento, Italy