Welcome to 140.638.01 Analysis of Biological Sequences!
Link to full Course Description
Course goal: develop a thorough understanding of the key algorithms underlying modern biological sequence analysis.
Prerequisites: None. Students with solid biological backgrounds as well as students with algorithmic and programming backgrounds are welcome. Please contact me at swheelan@jhmi.edu if you are uncertain about taking this class.
Grading: 70% homework, 30% oral presentation
Click here for course outline and for the presentation schedule.
The course is taught primarily from notes, and no single textbook is required, but some textbooks are helpful as references:
Classroom: W4019 (School of Public Health, Wolfe St. Building)
Instructor: Sarah Wheelan, and guests.
Link to full Course Description
Course goal: develop a thorough understanding of the key algorithms underlying modern biological sequence analysis.
Prerequisites: None. Students with solid biological backgrounds as well as students with algorithmic and programming backgrounds are welcome. Please contact me at swheelan@jhmi.edu if you are uncertain about taking this class.
Grading: 70% homework, 30% oral presentation
Click here for course outline and for the presentation schedule.
The course is taught primarily from notes, and no single textbook is required, but some textbooks are helpful as references:
For students with statistical and mathematical backgrounds:
Biological Sequence Analysis by Durbin et. al. is highly recommended, and
Bioinformatics and Functional Genomics by Pevsner is an excellent overview of the biological motivation for the tools used in computational biology.
Biological Sequence Analysis by Durbin et. al. is highly recommended, and
Bioinformatics and Functional Genomics by Pevsner is an excellent overview of the biological motivation for the tools used in computational biology.
For students with biological or clinical backgrounds:
Statistical Methods in Bioinformatics by Ewens and Grant and
Bioinformatics, Sequence and Genome Analysis by Mount.
The class will also be taught in part from current literature, and links to applicable papers will soon appear in the course outline.
Course times: Tuesday and Thursday, 3:30-4:50 Statistical Methods in Bioinformatics by Ewens and Grant and
Bioinformatics, Sequence and Genome Analysis by Mount.
The class will also be taught in part from current literature, and links to applicable papers will soon appear in the course outline.
Classroom: W4019 (School of Public Health, Wolfe St. Building)
Instructor: Sarah Wheelan, and guests.