Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
CS4491/CS7990: Special Topics in Bioinformatics Spring 2017 M/W 6:30-7:45pm J211 Instructor Name: Mingon Kang Lecture Time: M/W 6:30-7:45pm Phone: (470) 578-4311 Email: [email protected] Office: Atrium Building J339, Marietta Campus Course Description Biological sciences are undergoing a revolution in how they are practiced. In the last decade, a vast amount of biological data has become available, and computational methods are playing a fundamental role in transforming this data into scientific understanding. Bioinformatics involves developing and applying computational methods for managing and analyzing information about the sequence, structure and function of biological molecules and systems. This course covers a wide range of machine learning, data mining, and computational algorithms to solve various bioinformatics research problems. Credit hours 3-0-3. Prerequisites For graduate students: Coursework in data structures and algorithms, or CS 5040 as per admissions analysis. For undergraduate students: CS 3304, CS 3410 Course Learning Objectives Upon completion of this course, the students will be able to. 1. implement various machine learning, data mining, and computational algorithms in bioinformatics 2. solve various current research problems in bioinformatics 3. develop scientific thinking for research 4. read and write research papers Course Topics 1. 2. 3. 4. 5. 6. 7. Introduction to Bioinformatics Data Preprocessing Gene Expression Analysis Gene Regulatory Network Inference Markov Chain Model for Gene Identification Genome-Wide Association Studies (GWAS) and expression Quantitative Trait Loci (eQTL) analysis Next Generation Sequencing Data Analysis 8. Deep learning in Bioinformatics Required Texts Not required, but there are reference textbooks: N. Jones & P. Pevzner, "An Introduction to Bioinformatics Algorithms," 2004, ISBN 0262101068 Supratim Choudhuri, Bioinformatics for Beginners: Genes, Genomes, Molecular Evolution, Databases and Analytical Tools, 2014, ISBN: 0124104711 The grade will be based on: Attendance Assignments Final Project Research Paper 5% 35% 30% 30% Score ≥ 90 Score ≥ 80 & Score < 90 Score ≥ 70 & Score < 80 Score ≥ 60 & Score < 70 Score < 60 A B C D F Course Requirements/Assignments: (subject to change) During the first week, students will choose topics for a semester long research paper, submit abstract, then outline, then the first draft before the midterm. The final paper will be due at the end of the semester. Assignment 1: Data Visualization Assignment 2: Gene Regulatory Network Inference Assignment 3: Markov Chain Model for Gene identification Research Project & Research Paper University Policies Academic Honesty Statement: Every KSU student is responsible for upholding the provisions of the Student Code of Conduct, as published in the Undergraduate and Graduate Catalogs. Section II of the Student Code of Conduct addresses the University's policy on academic honesty, including provisions regarding plagiarism and cheating, unauthorized access to University materials, misrepresentation/falsification of University records or academic work, malicious removal, retention, or destruction of library materials, malicious/intentional misuse of computer facilities and/or services, and misuse of student identification cards. Incidents of alleged academic misconduct will be handled through the established procedures of the University Judiciary Program, which includes either an "informal" resolution by a faculty member, resulting in a grade adjustment, or a formal hearing procedure, which may subject a student to the Code of Conduct's minimum one semester suspension requirement. Reference Requirement When you quote or base your ideas on other people’s work (e.g., from articles, journals, magazines, books, websites, etc.) in the technical report, you MUST cite the source you used. When you direct quote, you must put others’ words in quotation marks and cite the source(s). When reading that source contributed to the ideas presented in your paper, you must give the authors proper credit. Students are recommended to user APA style for their references. APA style guide: http://owl.english.purdue.edu/owl/resource/560/01/