BME 237: RNA Bioinformatics
University of California, Santa Cruz
Teaches methods for RNA gene discovery; gene expression quantification; probabalistic modeling, secondary structure/trans-interaction prediction; mRNA splicing; and functional analysis. Emphasis on leveraging comparative genomics and employing high-throughput RNA sequencing data. Includes lectures, scientific literature discussion, problem sets, and final gene-discovery project.
Average GPA: 3.70
Grade distribution records: 59 students across 3 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 5 | 8.5% |
| A | 17 | 28.8% |
| A- | 1 | 1.7% |
| B | 4 | 6.8% |
| F | 1 | 1.7% |
| NP | 1 | 1.7% |
| S | 29 | 49.2% |
| U | 1 | 1.7% |
Based on 59 student grade records across 3 terms and 2 professors.
Instructors
- Angela Brooks 35 students, Average GPA 3.89
- Todd M. j. Lowe 24 students, Average GPA 3.37