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Apr 25, 2024
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Catalog 2018-2019 [ARCHIVED CATALOG]
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BIOL 227 Bioinformatics5 credits
Recent advances in technology have caused an explosive growth in biological information available for analyzing biological questions and developing diagnostics in human disease. Biologists must now think computationally to solve problems in health care and to research diseases. To introduce this rapidly advancing field in the context of molecular diagnostics, this course presents a variety of computational tools to interpret the many publicly available biological datasets.
Prerequisites: BIOL 225 and MATH& 146
Student Outcomes/Competencies:
Upon successful completion of this course students will be able to:
- Apply the scientific method to problem solving and research
- Apply basic bioinformatics algorithms
- Compare high throughput technologies, such as microarrays and DNA sequencing
- Access and use current biological datasets
- Apply bioinformatics methods to disease-related questions
- Research topics using various tools such as professional journal articles, Internet, and library resources
Total Hours: 60 Lecture Hours: 40 Lab or Clinical Hours: 20
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