View reviews for professors for this course View On Testudo


Bioinformatic Algorithms, Databases, and Tools

Prerequisite: Minimum grade of C- in CMSC351 and CMSC330; and permission of CMNS-Computer Science department. Or must be in the (Computer Science (Doctoral), Computer Science (Master's)) program. An introduction to the main algorithms, databases, and tools used in bioinformatics. Topics may include assembly and analysis of genome sequences, reconstructing evolutionary histories, predicting protein structure, and clustering of biological data. Use of scripting languages to perform analysis tasks on biological data. No prior knowledge of biology is assumed.

Spring 2022

6 reviews
Average rating: 5.00

Fall 2021

9 reviews
Average rating: 4.11

Spring 2021

7 reviews
Average rating: 2.43

Past Semesters

2 reviews
Average rating: 3.50

3 reviews
Average rating: 3.00

0 reviews
Average rating: Not yet rated

0 reviews
Average rating: Not yet rated

Average GPA: 2.95 between 932 students

"W"s are considered to be 0.0 quality points. "Other" grades are not factored into the average GPA calculation.