BIOINFORMATICS FOR MICROBIOLOGISTS
Provides a practical and fundamental introduction to sequence-based analysis focused on microbial systems. Emphasis on gaining a basic understanding of the principles of both classical and newer algorithms useful for bioinformatic analysis. Topics include: BLAST; RNA-seq analysis; transcriptional binding prediction; genome sequence assembly, analysis and annotation; and comparative genomics.
Topics
- BLAST
- RNA-seq analysis
- transcriptional binding prediction
- genome sequence assembly
- analysis and annotation
- and comparative genomics
Topics explicitly listed in official catalogue description
Prerequisites & course information
Requisites: Graduate/professional standing Course Designation: Grad 50% - Counts toward 50% graduate coursework requirement Repeatable for Credit: No Last Taught: Spring 2026 Learning Outcomes: 1. Perform basic operations within a Unix/Linux-based platform with a focus on using command line. Audience: Graduate 2. Recognize basic sequence data formats and how to access them through publicly available databases. Audience: Graduate 3. Install sequence analysis programs locally on their own computers. Audience: Graduate 4. Perform analyses using BLAST, genome assembly and annotation, RNA-seq, and metagenomics programs. Audience: Graduate 5. Use the outcomes of sequence data analysis programs to determine if a given result is statistically relevant and robust. Audience: Graduate 6. Use python to write scripts for sequence data manipulation. Audience: Graduate Learning Outcomes: 1. Perform basic operations within a Unix/Linux-based platform with a focus on using command line. Audience: Graduate 2. Recognize basic sequence data formats and how to access them through publicly available databases. Audience: Graduate 3. Install sequence analysis programs locally on their own computers. Audience: Graduate 4. Perform analyses using BLAST, genome assembly and annotation, RNA-seq, and metagenomics programs. Audience: Graduate 5. Use the outcomes of sequence data analysis programs to determine if a given result is statistically relevant and robust. Audience: Graduate 6. Use python to write scripts for sequence data manipulation. Audience: Graduate
Sources
- Course catalogue ↗2026-2027