Oct 01, 2023  
2020-2021 Undergraduate Academic Catalog 
2020-2021 Undergraduate Academic Catalog [ARCHIVED CATALOG]

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EB 3420 - Bioinformatics I

2 lecture hours 2 lab hours 3 credits
Course Description
Bioinformatics is a practical discipline to organize and understand huge amount of biological information, encompassing the analysis of biological sequences and structures. This course introduces students to the fundamental foundation of bioinformatics and its ever-increasing power in solving various complex problems in other scientific arenas including medicine and drug development. Starting with the detailed structures and physicochemical properties for the basic building blocks of nucleic acids and proteins, students will learn not only how to navigate the human genome as well as other completed genomes in search of given specific biological information, but also how to retrieve sequence and structure information out of the various specialized databases. In particular, students will learn computational algorithms and approaches as how to effectively and efficiently search against a wide variety of databases for homologs of a gene, RNA or protein sequence. This course is to lay the foundation for the subsequent Bioinformatics II course. (prereq: EB 2430 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
  • Acknowledge various contemporary issues and appreciate the impact of bioinformatics in genomics, proteomics, human disease research, and drug development
  • Apply knowledge of chemistry to understand the structures and physicochemical properties of the basic building blocks of biomolecules and, in turn, to understand biomolecular structure and function
  • Navigate the human genome to locate a gene of interest on a chromosome and interpret its results
  • Understand the computational algorithms/approaches pertinent to similarity search for an RNA or protein sequence query
  • Search against various specialized biological databases for a query and analyze/interpret the hits
  • Understand the basic principles and strategies of comparative analysis of protein sequences
  • Apply knowledge of mathematics, science, and engineering to bioinformatics

Prerequisites by Topic
  • None

Dr. Jung Lee

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