• Course Description
  
  • This course covers computational techniques for mining the large amount of information produced by recent advances in biology, such as genome sequencing and microarrray technologies. Main topics of the course include:
    • DNA and protein sequence alignment,
    • phylogenetic trees,
    • protein structure prediction,
    • motif finding,
    • microarray data analysis,
    • and gene/protein networks.
  
  
• Lecture Time/Place
  
  • Tuesday - 14:40 to 16:30 in BMB-4.
  • Friday - 14:40 to 15:30 in BMB-4.
  
  
• Reading Material
  
  • Textbook:
    • D.E. Krane and M.L. Raymer, Fundamental Concepts of Bioinformatics, Pearson Education, 2003.
      
  • Reference Books:
    • N. C. Jones and P. A. Pevzner, An Introduction to Bioinformatics Algorithms, MIT press, 2004.
    • C.A. Orengo, D.T. Jones and J.M.Thornton, Bioinformatics: Genes, Proteins and Computers, Roultledge, 2003.
    • A. M. Lesk, Introduction to Bioinformatics, Oxford University Press, 2002.
    • D. Mount, Bioinformatics: Sequence and genome analysis, Cold Spring Harbor Laboratory Press, 2001.
    • P. A. Pevzner, Computational Molecular Biology: An Algorithmic Approach, MIT press, 2000.
    • P. Baldi and S. Brunak, Bioinformatics: the machine learning approach (2nd edition), MIT press, 2001.
    • T. Jiang, Y. Xu, and M. Zhang, eds. Current Topics in Computational Molecular Biology, MIT press, 2002.
    • S. Karlin, Frontiers of Bioinformatics: Unsolved Problems and Challenges, National Academy Press, 2005
• Prerequisites
  
  • None.
• Goals
  
  • The main objective of the course is to provide the student with a solid foundation for conducting further research in bioinformatics. By the end of the course, the students will have learned:
    • the bioinformatics terminology,
    • current bioinformatics problems,
    • and the key methods and tools used in bioinformatics.
  
  

Tolga Can   (tcan@ceng.metu.edu.tr)
Office Location: Computer Engineering, B-109
Office Hours: Wednesday 10:30 - 12:00
                   Thursday 10:30 - 12:00

If you cannot make it to any of these office hours, please
contact me and we can make alternate arrangements