About the webinar

Shotgun metagenomics can provide detailed information on microbial community composition and functional potential. However, conventional species and pathway profiling may capture only part of the biological complexity contained within metagenomic datasets.

In this guest webinar, Professor Jingyuan Fu, Professor of Systems Medicine at the University Medical Center Groningen, presents a multidimensional framework for metagenomic data analysis. The approach extends beyond standard taxonomic and functional profiling to examine strain-level genetic variation, protein structural variation and changes across space and time.

Using data from the Dutch Microbiome Project, Professor Fu demonstrates how these complementary analytical dimensions can help connect microbial features with health-related phenotypes and support new hypothesis generation in microbiome research. The session illustrates how data generated through shotgun metagenomic sequencing can be explored more deeply to investigate microbial functionality and ecological dynamics.

What you will learn

• How species identification and abundance profiling establish microbiome composition
• How strain-level variation can reveal differences within microbial species
• How protein structure analysis may support predictions of microbial function
• How longitudinal and spatial data capture microbial community dynamics
• How multidimensional analysis can extend the value of metagenomic datasets

Watch on demand

Access the recording to hear Professor Jingyuan Fu explain how multidimensional metagenomic analysis can reveal microbial variation, functionality and dynamics beyond conventional species and pathway profiling.