Omics Data Science course
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Course objectives: underlying the diverse "-omics" technologies, there is a set of
stable patterns and core concepts for omics data analysis. After taking the course, you will
- Develop a good knowledge of the concepts and approaches for omics data analysis;
- Understand the subtleties or uniqueness of common omics data analysis workflows;
- Perform effective omics data analysis using our user-friendly omics tools (community or pro) through web interface
- Target audience: senior undergraduates, graduate students, postdoctoral fellows, researchers and PIs who are interested in omics data analysis
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Course content: for each topic, we will cover three components: core concepts, key tools, hands-on demo & practices.
The figures below shows the main topics, associated tools and key publications.
After an overview of key omics technologies (next-generation sequencing & mass spectrometry) and the key patterns in omics data analysis (two lectures),
we will start with transcriptomics (two lectures), followed by gene regulatory networks and proteomics (two lectures), metabolomics
(two lectures), microbiomics (two lectures), and finally, multi-omics integration (two lectures). In addition, we will also offer special
topics based on the feedback (some example topics are shown in the figure). You can see a copy of the course syllabus for winter 2024 session.
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Course schedule: The winter 2024 session was concluded successfully. We are now planning the coming sessions:
- Summer Bootcamp (a week in August, tentatively Aug. 5 - 9)
- Regular Session (every Saturday morning, Sept. - Nov.).
Last updated: 04-18-2024