GEN 220: Computational Analysis of High Throughput Bi­ ological Data

← 2015-16 2016-17 2017-18 →
← 2015-16 ← 2015-16 changes (lax) changes (strict) ▾ 2017-18 → 2017-18 →

Units: 3

Hours: Lecture, 2 hours; discussion, 1 hour

Catalog page 297

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

Description: Enables those with no computer science 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 297 / Programs and Courses 297 / Programs and Courses high throughput biological data. May be taken Satisfactory (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