Due to the COVID-19 outbreak, the 3rd edition of the Physalia-course "Metagenomics, metatranscriptomics, and multi'omics for microbial community studies"
When: 1-5 June 2020
Instructors: Curtis Huttenhower and his lab members
This course will provide a thorough introduction to microbial community data analysis (metagenomics, metatranscriptomics, and other culture-independent molecular data) through a balanced approach of lectures and hands-on lab sessions. Course participants will learn how to process data from raw meta’omic sequencing files through appropriate bioinformatic methods and approaches for subsequent integrative statistical analyses. Participants are invited to bring their own data to the practical session on the final day or can use publicly available data from the Integrative Human Microbiome Project (HMP2).
- Familiarity with the goals of typical microbial community studies and common culture-independent molecular technologies used to assay them.
- Metagenomic and metatranscriptomic data analysis for taxonomic, functional, and strain-level characterization of communities using reproducible workflows.
- Learning how to perform multivariate statistical analyses, combine multiple measurement types in microbial communities, and how to visualize associated results.
- Experience in integrative multi’omics analysis for large sets of human microbiome or environmental microbial community populations.
Course website: https://www.physalia-courses.org/courses-workshops/course33/
Should you have any questions, please feel free to contact us at email@example.com