| Bioinformatics Algorithms - 12527 - CS 57900 - LE1 |
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Associated Term: Fall 2016
Levels: Graduate, Professional, Undergraduate West Lafayette Campus Lecture Schedule Type Learning Outcomes: This course will introduce the essential algorithms for analyzing genomic and proteomic data. These algorithms will include sequence alignment, genome assembly, transcriptomics, phylogenetics, etc. Required Materials: Wing-Kin Sung, Algorithms in Bioinformatics: A Practical Introduction, Chapman and Hall/CRC Press, 2009. (ISBN 978-1-420070330) (Required for students with an algorithmic background.) Caroline St. Clair and Jonathan E. Visick, Exploring Bioinformatics: A project-based approach, Second edition, Jones and Bartlett Learning, 2015. (ISBN 978-1-284-02344-2) (Recommended for students who do not have an algorithmic background.) Technical Requirements: A knowledge of algorithms at the undergraduate level is necessary. Students will have to program in Python or Matlab. View Catalog Entry
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