Omics Data Science Training 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, live demo & hands-on practices.
The figures below shows the main topics, associated tools and our publications.
After an overview of key omics technologies and common patterns in omics data analysis (foundational lectures [2]),
we will start with transcriptomics [2], followed by gene regulatory networks and proteomics [2], metabolomics
[2], microbiomics [2], and finally, multi-omics integration [2]. In addition, we will also offer special
topics based on user feedback (some example topics are shown in the figure). You can see a copy of
the course syllabus for the winter 2024 session.
For those who attended the winter 2024 training session, please Log In to access your course materials
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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.).