Note: Joining this seminar will count as attendance credit, however attendance it is NOT mandatory.
Microbial “Social Networks”
Microbial communities found in nature are not just diverse and dynamic, they display a wide variety of beneficial and harmful interactions within the community and with their environment, not unlike a social network. Their interactions can be multi-dimensional. Microbiomes are typically studied using next generation sequencing technologies. Standard analysis pipelines can help in understanding the composition of microbiomes, their diversity and differential abundance of specific microbial taxa between two or more cohorts. This talk will discuss how to advance the state-of-the-art in microbiome analysis by focusing on the study of interactions within the community.
Network-based approaches can help in inferring groups of competing and cooperating microbial taxa, lend themselves to generalized inferences from multi-omics datasets, allow for inferring relative importance of entities in the microbiome, allow for inferring directional relationships, allow for inferring temporal relationships in longitudinal datasets, and even allow for inferring host-microbiome relationships. We will also discuss the implementation of efficient software pipelines through plugins and the role of high-performance computing in microbiome analysis.