BIOMSC X901 - Omics 4 Neuro - Multiomic Data Analysis, Integration, and Visualization
This three-day module teaches participants how to combine and interpret data from multiple omics platforms, including transcriptomics, epigenomics, and proteomics. Participants will learn to read common omics visualizations, run pathway enrichment analysis, and identify candidate transcription factors using motif and chromatin occupancy data. The module ends with participants building a regulatory network model that connects transcription factors, target genes, and protein interaction data. Each day includes a hands-on case study, giving participants a practical, repeatable process for integrating different types of omics data.
The module is intended for graduate students, postdocs, staff, and faculty who are working with (or planning to work with) data spanning multiple omics platforms and want to move from separate datasets to an integrated biological narrative. No prior coding required: all scripts and code templates are provided.
Delivery Options
Hybrid: A learning experience that combines online coursework with in-person instruction, activities, or events. Participants complete designated online learning components and attend scheduled in-person sessions.
Time to Completion
This program is projected to take approximately 18 hours to complete.
Course Completion Requirements
Successful completion of this course requires earning a score of at least 99% on required assessments.
Technology Requirements
- Reliable internet connection
- Computer, laptop, or tablet capable of accessing online course materials
- Ability to stream video and interactive content
- Recommended browsers: Google Chrome or Firefox
Additional Technology Information
A computer with internet access. Tool access (Cytoscape, ClueGO, RStudio) and case study materials will be provided three weeks before the workshop.
Prerequisite Requirements
Upper-level coursework in genetics and molecular biology. We recommend reviewing the "Bulk Transcriptomics and Epigenomics" modules (available on Carmen) beforehand.
Reach out to Charlie.Campbell@osumc.edu for questions.
What You’ll Learn
- Complete an analysis.
- Complete a repeatable workflow for multidomic datasets.
What You’ll Earn
- A certificate of completion from Ohio State University College of Medicine.
Additional Information
Please note that tools should be accessed prior to the start of the in-person workshop. For assistance, reach out to Charlie.Campbell@osumc.edu.
Contact Us
For questions about the enrollment process, payment options, technology, or course records, please submit an inquiry and our Enrollment Support team will assist you within 24 hours during business days.
For questions about course details email COM_CCE@osumc.edu.