Introduction to Computational Biology and Bioinformatics
BST 282
Subject & Catalog Number
Course Information
Description
Basic biological problems, genomics technology platforms, algorithms and data analysis approaches in computational biology. There will be three major components of the course: microarray and RNA-seq analysis, transcription and epigenetic gene regulation, cancer genomics.
This course is targeted at both biostatistics and biological science graduate students with some statistics and computer programming background who have an interest in exploring genomic data analysis and algorithm development as a potential future direction.
Course Note: Lab or section time to be announced at first meeting; cross-listed: HSPH student must register for HSPH course.
Course Prerequisite(s): STAT 110 and CS5O, or students in BIO, CBQG, or HDS degree programs, or permission of instructor.
Class Notes
THIS CLASS HAS PRIORITY ENROLLMENT
Priority Wave Groups
Wave 1 | CBQG SM2
Wave 2 | Open Enrollment
Wave 3 | Open Enrollment
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Priority Wave Timing
Wave 1 | 1/8/2026 11:00 AM - 1/18/2026 11:59 PM
Wave 2 | 1/19/2026 12:00 AM - 1/21/2026 11:59 PM
Wave 3 | 1/22/2026 12:00 AM (varies by session)
Any student who does not meet the Wave 1 or Wave 2 criteria can add themselves to the waitlist (if enrollment requirements are met) at any time during the enrollment period. At the beginning of each priority wave, students on the waitlist who meet the Wave’s criteria will be automatically enrolled into any remaining seats in the course (pending no time conflicts)
**Cross-Registrants and Non-Degree Students will be enrolled on a space available basis after the enrollment deadline for the course
Available for Harvard Cross Registration
