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CS 782Pattern Discovery in Biomolecular Data

Units
0.50
Level
Graduate
Faculty
Mathematics
Subject
Computer Science

CS 782 as listed in the Fall 2026 Graduate Calendar. The main page has the current version, when it runs, and seats.

This course examines, from an algorithmic point of view, the pattern discovery techniques that are currently used to extract the functional knowledge hidden in biomolecular data that is derived from DNA, RNA, proteins and their reaction products. Topics include: DNA sequence analysis, RNA structure prediction techniques, protein motif discovery techniques, protein structure prediction, analysis of expression data.

Prerequisites

None listed.

Antirequisites

None listed.

Leads to

No course lists it as a requisite.

Check it elsewhere for Fall 2026

Calendar versions

Graduate Calendar

Older Graduate Calendars

In 42 terms, Fall 2006 to Winter 2024