GEN 220: Computational Analysis of High Throughput Bi- ological Data

← 2016-17 2017-18 2018-19 →
← 2016-17 ← 2016-17 changes (lax) changes (strict) ▾ 2018-19 → 2018-19 →

Units: 3

Hours: Lecture, 2 hours; discussion, 1 hour

Catalog page 303

Prerequisites: graduate students in a life sciences 301 / Programs and Courses program or consent of the instructors; previous coursework in genetics/genomics, molecular biology, or cell biology

Description: Enables those with no computer sci- ence background to handle high throughout biological data. Covers the Perl programming language; program design, implementation, and testing; relational databases; basic data structures and algorithms; and BioPerl. Includes skill building through analysis of real high throughput biological data. May be taken Satis- factory (S) or No Credit (NC) with consent of instructor and graduate advisor. Liu, Stajich

Derived Information — The following is not part of the official catalog but is computed from catalog data.
Enrollment History (from UCR Banner, not catalog)
Year F W S Su Total
2025-26 11/15 11/15
2023-24 17/24 17/24
2022-23 14/24 14/24
2021-22  9/24  9/24
2020-21 21/24 21/24
2019-20 21/24 21/24
2018-19  9/24  9/24
2017-18 17/24 17/24