24-28 May 2021
Due to the COVID-19 outbreak, this course will be held online
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).
This course is designed for researchers and students with interest in using culture-independent molecular data (particularly DNA and RNA sequencing technologies) to
study microbial communities. This includes both the human microbiome in population studies and techniques generalizable to any microbial communities. The course will mainly focus on the analysis
of meta’omic sequencing, including workflows for processing raw sequencing data, multivariate analysis of microbial profiles, and visualization techniques.
Monday – Classes from 1-8 pm BERLIN TIME
Lecture 1: Introduction to metagenomics
Lab 1: Lab setup (Google Cloud)
Lecture 2: Introduction to meta'omic population studies
Lab 2: Introduction to command line (UNIX commands and the shell)
Lecture 3: Taxonomic profiling (MetaPhlAn)
Lab 3: MetaPhlAn
Dr. Eric Franzosa