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Course Info

  • Course Number / Code:
  • 6.096 (Spring 2005) 
  • Course Title:
  • Algorithms for Computational Biology 
  • Course Level:
  • Undergraduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Electrical Engineering and Computer Science 
  • Course Instructor(s):
  • Prof. Manolis Kellis 
  • Course Introduction:
  •  


  • 6.096 Algorithms for Computational Biology



    Spring 2005




    Course Highlights


    This course features a complete set of homework assignments. In addition, a partial list of lecture notes is available.


    Course Description


    This course is offered to undergraduates and addresses several algorithmic challenges in computational biology. The principles of algorithmic design for biological datasets are studied and existing algorithms analyzed for application to real datasets. Topics covered include: biological sequence analysis, gene identification, regulatory motif discovery, genome assembly, genome duplication and rearrangements, evolutionary theory, clustering algorithms, and scale-free networks.


    Technical Requirements


    Use the Python interpreter to run the .py files found on this course site.

     

ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.






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