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Dec 26, 2024
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CS 4170 - Data Mining With Applications in the Life Sciences
Uses Perl Programming language to develop custom software tools that solve problems in the life sciences. Topics covered include the Perl programming language, processing DNA sequences and protein sequences, restriction maps, GenBank, protein data bank, parsing BLAST output, Bioperl, data pipelines, and the Entrez programming utilities.
Requisites: CS 3610 or PBIO 4160
Credit Hours: 3
Repeat/Retake Information: May be retaken two times excluding withdrawals, but only last course taken counts.
Lecture/Lab Hours: 3.0 lecture
Grades: Eligible Grades: A-F,WP,WF,WN,FN,AU,I
Learning Outcomes: - Students will gain the ability to develop Perl programs that combine third party tools to form customized data analysis pipelines
- Students will gain the ability to develop Perl programs that perform processing of biological sequence data
- Students will gain the ability to develop Perl programs to parse GenBank files and libraries, protein data bank files, and BLAST output files
- Students will gain the ability to use the Perl programming language to architect and construct software packages that solve computational biology problems
- Students will learn about features of the Bioperl libraries
- Students will learn basic concepts of database management
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