BINF 3101: Sequence Analysis
University of North Carolina, Charlotte
The purpose, application, and biological significance of bioinformatics methods that identify sequence similarity, methods that rely on sequence similarity to produce models of biological processes and systems, as well as methods that use sequence characteristics to predict functional features in genomic sequence data.
Average GPA: 3.20
Grade distribution records: 289 students across 18 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A | 144 | 49.8% |
| B | 79 | 27.3% |
| C | 28 | 9.7% |
| D | 4 | 1.4% |
| F | 18 | 6.2% |
| W | 7 | 2.4% |
Based on 289 student grade records across 18 terms and 6 professors.
Instructors
- Rebekah Rogers 117 students, Average GPA 2.89
- Abigail Labella 68 students, Average GPA 3.37
- Adam Whaley 47 students, Average GPA 3.28
- Daniel Janies 37 students, Average GPA 3.57
- Laurel Yohe 12 students, Average GPA 3.73
- Zhengchang Su 8 students, Average GPA 2.71