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BIOI 3000  APPLIED BIOINFORMATICS (3 credits)

This course will provide students with the practical skills needed for the analysis of -omics data. Topics covered will include biological databases, molecular biology tools (e.g., primer design, contig assembly), gene prediction and mining, database searches, genome comparison, sequence alignments, phylogenetic inference, gene expression data analyses, functional annotation of protein sequences, protein structure and modeling. Specialized software (e.g., Vector NTI) and widely used web-based computation tools (e.g.., Entrez, BLAST, ClustalX, Phylip, PyMOL, and SwissPDBviewer) will be illustrated. Multiple approaches for solving particular problems will be presented.

Prerequisite(s)/Corequisite(s): BIOI 2000 and CIST 1400; or permission of instructor.

Bioinformatics, Bachelor of Science (College of Information Science & Technology)

http://catalog.unomaha.edu/undergraduate/college-information-science-technology/school-interdisciplinary-informatics-si2/bioinformatics-bs/

The Bioinformatics program in the College of Information Science and Technology (IS&T) specifically equips students with a strong foundation in computer science, scripting/programming, algorithms, database development, data management, and reproducible workflow implementation. In addition, fundamental courses in biology, genetics, molecular biology, chemistry, statistics, and discrete mathematics provide students with the ability to analyze and interpret many different types of data. The program curriculum is designed to meet the current demand for professionals equipped with bioinformatics computing skills. The national demand for bioinformatics professionals exceeds current supply, and individuals with the interdisciplinary training that a bioinformatics degree provides are in high demand.

Bioinformatics

http://catalog.unomaha.edu/undergraduate/college-arts-sciences/bioinformatics/

Bioinformatics is an interdisciplinary scientific field that addresses problems related to the collection, processing, and analysis of the vast amounts of data describing the structure and function of biological systems, combining aspects of computer science, molecular biology, chemistry and mathematics.