BINF 6430 — Transcriptomics in Bioinformatics
4 semester hoursGraduateLectureNUpath EXusually offered: fall, springtypical days: TBostonOnlinePortland, MaineToronto, CanadaOnlineTraditional
Introduces the study of the complete RNA transcriptome, otherwise known as “transcriptomics.” Covers the molecular genetics that underlie RNA and its various sequencing protocols (e.g., RNA-seq, ATAC-seq, and scRNA-seq), data preprocessing, transcriptome assembly, differential gene expression, and gene set enrichment analysis. Throughout the course and in collaboration with our academic partners, students take part in experiential learning by processing and analyzing various real-world RNA-seq datasets, including bulk RNA and single-cell sequencing.
Prerequisites
- one of:
Offering history
| Term | Sections | Enrolled | Capacity | Full | Open seats/section |
|---|---|---|---|---|---|
| Fall 2023 | 2 | 9 | 25 | 36% | 8.0 |
| Fall 2024 | 2 | 22 | 26 | 85% | 2.0 |
| Spring 2025 | 2 | 33 | 35 | 94% | 1.0 |
| Fall 2025 | 4 | 59 | 76 | 78% | 4.3 |
| Spring 2026 | 1 | 19 | 22 | 86% | 3.0 |
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 82% · W 0% · Th 18% · F 0%
Common patterns: T (82% of sections), R (18% of sections) — in patterns, R means Thursday
Professors
Fall
- Marcus Sherman (56% of students) · reviews
- Saman Farahmand (44% of students) · reviews
Spring
- Saman Farahmand (85% of students) · reviews
- Oyeronke Ayansola (15% 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