We're still actively developing this site. If you encounter any issues, please report them! - Report an issue

BIOINFORMATICS FOR MICROBIOLOGISTS

MICROBIO 657
Course Description

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. Note that this course requires that each student have access to a laptop that runs a linux/unix Operating System such as a Mac or a ChromeBook. PC Laptops running a VM are also acceptable. No prior knowledge of computational biology is required.

Prerequisites

MICROBIO 303 , BIOCHEM 501 , GENETICS 466 , or GENETICS 467 or graduate/professional standing

Satisfies

This course does not satisfy any prerequisites.

Credits

Not Reported

Offered

Not Reported

Grade Point Average
3.96

1.61% from Historical

Completion Rate
100%

0.42% from Historical

A Rate
93.88%

4.26% from Historical

Class Size
49

1.66% from Historical

Cumulative Grade Distribution

Instructors (2026 Summr)

Sorted by ratings from Rate My Professors

Similar Courses

MICROBIAL GENETICS & MOLECULAR MACHINES

MICROBIO 470

Examines modern microbial genetics and molecular processes. Emphasis on the use of eubacterial and eukaryotic microbes to elucidate cellular function. Discussion of experimental approaches to study microbes and their use in biotechnology, bioremediation, and medicine.

TOOLS FOR DATA ANALYSIS

ABT 775

Using a variety of existing and emerging bioinformatics tools and computational methods, emphasizes hands-on experiences analyzing and interpreting large data sets (e.g. genomic, proteomic, microbiomics, interactome, target discovery). Evaluate and adapt existing computational approaches for specific use in solving a problem in biotechnology.

BIOINFORMATIC INQUIRY

ABT 780

Advances the development of competencies promoting efficient analysis of biological data. Emphasizes matching a research problem with the most effective tools for its completion, balancing use of existing software and de novo software development. Advanced aspects of Python and R, algorithmics, machine learning, simulations, and effective communication of results are emphasized.

GENERAL BIOINFORMATICS FOR MICROBIOLOGISTS

MICROBIO 357

Provides foundational introduction to bioinformatics for microbiologists. Emphasis on the basic understanding of bioinformatics tools, analysis, and databases and their applications (e.g. Sequence alignment, Phylogenetic trees, Genome analyses). Topics include: command line manipulation, sequence alignment, file formats, phylogenetic trees, standard genome and protein databases, interpretation of microbial and viral genomes, and basic scientific computer programming.

PYTHON FOR BIOINFORMATICS

ABT 730

Introduce diverse strategies for computational analysis of macromolecular data using Python including sequence alignment, genome annotation, data retrieval from databases, phylogenetic analysis, and molecular evolution. Experiential learning is emphasized; confidence in practical skills is developed through persistent application of course content to projects focused on current problems in bioinformatic research.