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Fall 2026
Python for Bioinformatics
Python for Bioinformatics introduces computational analysis strategies for macromolecular data using Python.
Recorded instructors · Fall 2026 Natalie Betz
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Prerequisites
Course mapDeclared in MS Applied Biotechnology or Capstone Certificate in Applied Bioinformatics
“Used by” includes alternatives; linked courses may have other requirements. This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Declared in MS Applied Biotechnology or Capstone Certificate in Applied Bioinformatics
Professors
Fall 2026Historical instructors & teaching patterns
NATALIE BETZ is recorded teaching in Fall 2021, Fall 2022, Fall 2023, Fall 2024, Fall 2025. 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 2026Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|---|---|---|
| LEC 001 | Online Only | 0 / 100 | 0 |
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Student experience
the class
Introduce diverse strategies for computational analysis of macromolecular data using Python including sequence alignment, genome annotation, data retrieval from databases, phylogenetic analysis, and molecular evolution. Experiential learning is emphasized; confidence in practical skills is developed through persistent application of course content to projects focused on current problems in bioinformatic research.
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UW–Madison
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Selected offering source records
Python for Bioinformatics
Recorded 2026-09-07Raw records
[
{
"run_id": "20260907T155543-ce3781c4",
"semester": "1272",
"observed_at": "2026-09-07 15:55:43.033547+00:00",
"offering_id": "1272:160:025973",
"course_id": "ABT 730",
"course_uid": "course_53a22e134698da58ee1f3240",
"term_id": "1272",
"source_course_id": "025973",
"source_subject_id": "160",
"title": "Python for Bioinformatics",
"credits_min": 3,
"credits_max": 3,
"typically_offered": "Not Applicable"
}
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Explore recorded gradesModel 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": "1c653e185ed0d0a565e5f5df156c313669c468ed54da4ec6107ed5c960da8855",
"requirements_status": "needs_review",
"dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
"observed_at": "2026-09-07 15:55:43.033547+00:00"
}