BINF 6250 — Algorithmic Foundations in Bioinformatics
3 semester hoursGraduateLectureusually offered: fall, springtypical days: TOnlinePortland, MaineOnlineTraditional
Explores algorithmic principles in the context of bioinformatics. Through a dynamic and comprehensive journey encompassing sequence alignment, genome assembly, phylogenetics, hidden Markov models, and predictive analyses in protein and RNA structures, delves into the core techniques essential for deciphering biological data. Uses lectures, hands-on sessions, and case studies to offer students an opportunity to obtain a rich understanding of how algorithms drive insights into evolutionary relationships, genetic patterns, and molecular structures.
Prerequisites
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2024 | 2 | 7 | 25 | 28% | 9.0 |
| Spring 2025 | 2 | 9 | 25 | 36% | 8.0 |
| Fall 2025 | 2 | 11 | 21 | 52% | 5.0 |
| Spring 2026 | 2 | 18 | 27 | 67% | 4.5 |
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 60% · W 24% · Th 16% · F 0%
Common patterns: T (60% of sections), W (24% of sections), R (16% of sections) — in patterns, R means Thursday
Professors
Fall
- Marcus Sherman (100% of students) · reviews
Spring
- Marcus Sherman (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) · Student reviews on RateMyHusky · All BINF courses · Plan it at numap.app