BINF 6511 — Using Real-World Data to Advance Discovery in the Fields of Bioinformatics and Biotechnology
3 semester hoursGraduateLectureusually offered: springtypical days: TPortland, MaineTraditional
Examines methodologies for analyzing observational health, viromics, and genetics datasets. Covers data structuring, collection methods, ethical considerations, statistical analysis techniques, and data visualization approaches in bioinformatics and biotechnology research. Offers experience with current bioinformatic tools and programs to address complex biological questions, from basic coding principles to advanced algorithmic applications. Analyzes large-scale health and genomic datasets, explore viral mutation patterns, and evaluate biopharmaceutical research applications.
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Spring 2026 | 1 | 9 | 9 | 100% | 0.0 |
Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.
Meeting times
Share of recent sections by weekday: M 0% · T 100% · W 0% · Th 0% · F 0%
Common patterns: T (100% of sections) — in patterns, R means Thursday
Professors
Spring
- Michael Wilczek (100% of students) · reviews
Percentages are each professor's average share of the season's enrolled students in recent terms.
Links
Official catalog (BINF course descriptions) · All BINF courses · Plan it at numap.app