Single Molecule Sequencing: Longitudinal Profiling

Instructors: Michael Snyder
Lecture Summary: In this lecture, Michael Snyder, PhD, chair of the Department of Genetics at Stanford University, describes revolutions over the past twenty years in personalized medicine based on his work with a longitudinal multi-omics profile of normal patients. In addition to correlational and genetic insights, his work has shed light on new possibilities in data collection practices and insights, culminating in the foundation of numerous corporations.
Course Summary: Sequencing-based research has become the dominant investigative practice within the biological sciences. Single-molecule sequencing: training, methods, and applications, responds to this development by providing a hands-on and in-depth introduction to sequencing for students, from Sanger to third-generation technologies. Utilizing an alternating lecture-lab schedule, students are introduced to fundamental basic principles of DNA & RNA science, progressing to cutting-edge library preparation and sequencing analysis techniques with Illumina and Nanopore technologies. Students will have the opportunity to perform direct-RNA sequencing samples on research samples, and experience first-hand the ethical implications of this data. Relevant concepts in biology and computer science will be addressed.
Relevant Papers:
Li, H., Zeng, J., Snyder, M.P., Zhang, S. (2024). PRS-Net: Interpretable Polygenic Risk Scores via Geometric Learning. In: Ma, J. (eds) Research in Computational Molecular Biology. RECOMB 2024. Lecture Notes in Computer Science, vol 14758. Springer, Cham. doi.org/10.100...
Longitudinal cytokine and multi-modal health data of an extremely severe ME/CFS patient with HSD reveals insights into immunopathology, and disease severity: doi.org/10.338...
Leveraging physiology and artificial intelligence to deliver advancements in health care: doi.org/10.115...
Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes: doi.org/10.101...
Course website: physiology.med...
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