Algorithms for Analyzing Biological Sequences

Course Detail

Degree: Master
Standard Academic Year: Half
Course delivery methods: face-to-face
Subject: Engineering & technology
Program
School: College of Electrical Engineering & Computer Science
Department
Campus: Main Campus
Classroom
Course Offering Year
Course Offering Month: September - January
Weekday and Period: Tuesday 2,3,4
Capacity: 50
Credits: 3
Language: English
Course Number: CSIE5028

Algorithms for Analyzing Biological Sequences National Taiwan University

Course Overview

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

Learning Achievement

Competence

Course prerequisites

*Restrict to 3rd-year and above.

Grading Philosophy

Course schedule

Course type

Online Course Requirement

Instructor

Kun-Mao Chao

Other information

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