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CSBP431: Bioinformatics

Description:Overview of molecular biology as related to bioinformatics. Bioinformatics and the relationship between computer science and biology in the field of bioinformatics. Algorithms in general and specifically those often used in bioinformatics. Computing tools used in bioinformatics. Databases available for bioinformatics work. Scientific method and how bioinformatics applications apply. Models of successful collaborations between biologists and computer scientists. Computational models of biological processes and their role in scientific discovery.
Credit Hours.:3
Text Book: Exploring Bioinformatics: A project-based approach. Caroline St. Clair and Jonathan Visick. Jones and Bartlett Publishers, 2009.
Coordinator: Nazar Zaki
Topics Outline:
  1. Exploring Bioinformatics and genetic disease.
  2. Gene and protein alignments.
  3. Sequence Assembly: the human genome.
  4. Gene prediction.
  5. Protein structure and function prediction.
  6. Measuring evolution.
  7. Microarrays and gene expression.
Outcomes:
  1. Explain bioinformatics basic concepts.
  2. Analyze biological sequences.
  3. Describe the impact of bioinformatics.
  4. Design an algorithm to solve biology related problem.
  5. Compare bioinformatics data types including sequences, structures, and expression data.
  6. Use bioinformatics tools.
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Pre-requisiteITBP319: Data Structures
Volume of the Course that Contributes to CIT Students Outcomes(SOs)
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a b c d e f g h i j k l m n
6% 8% 13% 2% 0% 2%8% 2% 15% 15% 6% 8% 8% 0%
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