Genomics, Proteomics, and Metabolomics: A Deep Dive into Omics Data Analysis
Recorded 2026-10-14 Spring 2027
Genomics, Proteomics, and Metabolomics: a Deep Dive Into Omics Data Analysis
Explores 'big data' analyses in proteomics, genomics, and metabolomics. Provides foundational instruction in 'omics' methodologies, heritability studies, and analytical techniques for medical practice.
offering recorded2 credits
Recorded instructors · Spring 2027 No instructors listed
Summary
What you’ll be able to do
Examine and critically evaluate databases for adequacy of data.
Demonstrate understanding of biological variability, data scaling, and data normalization schemes
Demonstrate a basic understanding of statistical associations using bioinformatics, such as hierarchical clustering and correlation matrices.
Demonstrate a basic understanding of analyte pathways using bioinformatics databases such as Uniprot.
Demonstrate appropriate consideration of false discovery.
Develop hypothetical models of molecular interactions.
Synthesize knowledge of molecular pathways and apply this knowledge to potential health and clinical factors.
Prepare and defend a hypothetical model of molecular interactions.
Demonstrate critical thinking skills and an understanding of the underlying science behind analytical methodologies
Source: UW Guide
Grade history
↗ average GPA
00 letter grades
No recorded grade history.
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Prerequisites
Course mapMED SC-M 810, 811, 812 and 813; or Declared in Cellular and Molecular Pathology Graduate Program
- MEDSC-M 810 · unspecified
- MEDSC-M 811 · unspecified
- MEDSC-M 812 · unspecified
- MEDSC-M 813 · unspecified
- Declared in Cellular and Molecular Pathology Graduate Program
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Any of
- All of
- Declared in Cellular and Molecular Pathology Graduate Program
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 008 | Classroom Instruction | 0 / 3 | 0 |
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.
Meeting source records
Student experience
the class
Advances in medicine are increasingly driven by "big data" analyses, including proteomics, genomics, and metabolomics. Basic knowledge of analyzing these datasets enables the generation and testing of hypotheses with the potential to transform a field. Provides foundational instruction in "omics" methodologies, heritability studies, and analytical techniques, offering the skills needed to conduct future 'omics analyses and apply scientific inquiry to advance medical practice.
difficulty & workload
No workload feedback recorded.
Topics
- Genomics, Proteomics, and Metabolomics
- 'Omics' methodologies and heritability studies
- Analyte pathways and bioinformatics databases like Uniprot
- Molecular pathways and clinical applications
Skills
- Foundational instruction in 'omics' methodologies, heritability studies, and analytical techniques.
- Understanding of biological variability, data scaling, and data normalization schemes.
- Statistical associations using bioinformatics, including hierarchical clustering and correlation matrices.
- Appropriate consideration of false discovery.
- Development of hypothetical models of molecular interactions.
Grades
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Sources & history
UW–Madison
Catalog & offerings
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Selected offering source records
Raw records
[
{
"run_id": "20261014T203208-0851c9a1",
"semester": "1274",
"observed_at": "2026-10-14 17:50:09.728220+00:00",
"offering_id": "1274:704:025275",
"course_id": "PATH 970",
"course_uid": "course_48448a80ccc88461d34bebad",
"term_id": "1274",
"source_course_id": "025275",
"source_subject_id": "704",
"title": "Genomics, Proteomics, and Metabolomics: A Deep Dive into Omics Data Analysis",
"credits_min": 2,
"credits_max": 2,
"typically_offered": "Not Applicable"
}
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Explore recorded gradesDataset & model
View the dataset on Hugging Face Recorded 2026-10-14
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "294ef96b36ce980e8d30f70bc4f8528ba3bcf8eef43f1c73ab5d275d3871c20a",
"requirements_status": "needs_review",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}