Genomics, Proteomics, and Metabolomics: a Deep Dive Into Omics Data Analysis

Provides foundational instruction in omics methodologies, heritability studies, and analytical techniques for data analysis in medical contexts.

offering recorded2 credits
Recorded instructors · Fall 2026 Irene Ong

Summary

Lectures are small, with a median of 4 enrolled students in the recorded sections.

Section enrollment · Fall 2026 snapshot ↗

Grade history

average GPA
letter grades

No recorded grade history.

All recorded terms · compare terms & instructors

Prerequisites

Course map

MED SC-M 810, 811, 812 and 813; or Declared in Cellular and Molecular Pathology Graduate Program

PATH 970

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026

No course-specific feedback yet.

Historical instructors & teaching patterns

IRENE ONG is recorded teaching in Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

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SectionModeEnrolled / capacityWaitlist
LEC 009Online Only4 / 40

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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.
  • Big data analysis and hypothesis generation.
  • Heritability studies.

Skills

  • Foundational instruction in omics methodologies, heritability studies, and analytical techniques for conducting omics analyses and applying scientific inquiry.
  • Generation and testing of hypotheses using big data analyses.

Grades

Instructor

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Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

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Selected offering source records
PATH 970 · Fall 2026

Genomics, Proteomics, and Metabolomics: A Deep Dive into Omics Data Analysis

Recorded 2026-09-07
Raw records
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:704:025275",
    "course_id": "PATH 970",
    "course_uid": "course_48448a80ccc88461d34bebad",
    "term_id": "1272",
    "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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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
Full model traces

Recorded model configuration, reasoning, and tool conversations.

Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "1ce64c02a142ff913c5926143f82edc5caffbaa2b12af3a47e9525e1b82ab830",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}