BIOINFORMATICS FOR MICROBIOLOGISTS

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.

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.

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.

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.

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.