Algorithms for Analyzing Biological Sequences National Taiwan University
Part I: Sequence Homology Introduction to basic algorithmic strategies Pairwise sequence alignment Multiple sequence alignment Chaining algorithms for genomic sequence analysis Suboptimal alignment Comparative genomics Compressed / constrained sequence comparison Hidden Markov models (the Viterbi algorithm et al.) Part II: Sequence Composition Sequence assembly Maximum-sum and maximum-density segments SNP and haplotype data analysis Approximate gapped palindrome Genome annotation Other advanced topics
*Restrict to 3rd-year and above.
Online Course Requirement
Graduate Institute of Computer Science & Information Engineering, Graduate Institute of Biomedical Electronics and Bioinfornatics
Site for Inquiry
Please inquire about the courses at the address below.
Email address: http://www.csie.ntu.edu.tw/main.php?lang=en