BME 237

RNA Bioinformatics

5credits
About this course

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.

All available terms

3 terms

Avg. GPA
3.70
Grades
59

Other grades

NP1.7%S49.2%U1.7%
More course details

University of California, Santa Cruz

BME 237 at UCSC: average GPA 3.70 across 59 students. Grade distribution by term. Teaches methods for RNA gene discovery; gene expression quantification…

Average GPA: 3.70

Grade distribution records: 59 students across 3 terms.

Grade distribution

GradeStudentsPercent
A+58.5%
A1728.8%
A-11.7%
B46.8%
F11.7%
NP11.7%
S2949.2%
U11.7%

Based on 59 student grade records across 3 terms and 2 professors.

Instructors

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