Covers the fundamentals of bioinformatics and how to identify a computational solution or tool for a biological question. Studies how large biological data sets are generated, processed, analyzed, and how to generate questions to ask when working collaboratively with a trained bioinformatics colleague. Students gain experience using online and software-based bioinformatic tools and the use of protein modeling software to design testable hypotheses. (Formerly Coronavirus Bioinformatics Lab.)
7 terms
Other grades
University of California, Santa Cruz
BIOL 104L at UCSC: average GPA 3.41 across 536 students. Grade distribution by term. Covers the fundamentals of bioinformatics and how to identify a…
Average GPA: 3.41
Grade distribution records: 536 students across 7 terms.
| Grade | Students | Percent |
|---|---|---|
| A+ | 25 | 4.7% |
| A | 207 | 38.6% |
| A- | 62 | 11.6% |
| B+ | 68 | 12.7% |
| B | 74 | 13.8% |
| B- | 27 | 5.0% |
| C+ | 13 | 2.4% |
| C | 28 | 5.2% |
| D+ | 1 | 0.2% |
| D | 8 | 1.5% |
| F | 7 | 1.3% |
| P | 7 | 1.3% |
| NP | 5 | 0.9% |
| W | 4 | 0.7% |
Based on 536 student grade records across 7 terms and 4 professors.
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