Genomics and Personalized Care in Health Systems

University of Pittsburgh

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Genomics Course Syllabus:

Course: HRS-2425/HRS-1425 Genomics and Personalized Care in Health Systems
Credits: Three (3) Semester Credits
Session: Spring Session
Day/Time: Monday, 5:00 p.m. - 8:00 p.m.
Instructor: Leming Zhou, PhD, (412) 383-6653; lzhou1@pitt.edu

Course Description:

This course will focus on general introduction to genomics, gene structure and annotation, gene and disease association, and genomic information security. These topics will be presented and discussed in detail. Other topics such as RNA and protein structure, microarray experiments, and DNA sequencing technologies will also be briefly covered. Students will understand gene structure and annotation by working on novel gene annotation projects in the lab sessions.

Student Objectives:

Upon completion of this course, students should be able to:
  1. Explain eukaryotic gene structure and molecular biology central dogma
  2. Demonstrate the skills of annotating eukaryotic genes using online tools
  3. Demonstrate the skills of performing sequence similarity search using blast
  4. Demonstrate the skills of collecting evidence from UCSC genome browser
  5. Describe major DNA and protein databases and the method of extracting data from them
  6. Explain major gene finding methods, their advantages and disadvantages
  7. Describe different types of genetic diseases and the relationship between genetic variations and diseases
  8. Demonstrate the skills of determining protein and RNA secondary structures using online tools
  9. Explain basic ideas behind microarray and DNA sequencing technologies
  10. Recognize the importance of protecting personal genomic information and describe several ways of protecting the information

Methods of Presentation:

Lecture:

Each new topic will be presented and explained. This will be substantiated by the use of the materials of text books, handouts, web sites, case studies, and class discussion.

In-Class Laboratory Session:

In-class lab sessions will be arranged so that students get familiar with online data mining and gene annotation tools.

Student Project and Presentation:

Each student will work on one gene annotation project. Each student will write a report about the project and present his/her results in the last class of the course.

Term Paper:

Each graduate student will investigate one specific topic related to the class and approved by the instructor. A scholarly term paper is required to report the results of the investigation.

Methods of Evaluations:

The final grade for undergraduate students will be composed of the following:
Class Participation 10%
Homework Assignments30%
Gene Annotation Project30%
Final Exam30%
The final grade for graduate students will be composed of the following:
Homework Assignments 20%
Project 25%
Term Paper 25%
Final Exam 30%

Required Textbook:

  • Bioinformatics and Functional Genomics, Jonathan Pevsner, 2nd Edition, Wiley-Blackwell, 2009.
  • Genes and Disease, by National Center for Biotechnology Information (NCBI), http://www.ncbi.nlm.nih.gov/books/bookres.fcgi/gnd/gnd.pdf

Course Outline:

Reading Topics
Lecture 1 Chapter 1 Overview of the course and introduction to DNA, RNA, and protein.
Lecture 2 Chapter 2 Molecular biology databases
Lecture 3 Chapters 3, 6, and 7 Sequence alignment
Lecture 4 Chapter 4 Blast search
Lecture 5 UCSC website Genome browsers
Lecture 6 Chapter 13 Gene finding methods - Part I: Theory
Lecture 7 GEP websites Gene finding methods - Part II: Practices
GEP websites Gene annotation lab
Lecture 8 Chapter 20, Ebook: Gene and disease Genomic variations and disease
Lecture 9 Chapters 10 and 11 Protein/RNA structure
Lecture 10 Chapters 13 and 16 High-throughput technologies: microarray and next-generation sequencing
Course review
Student presentations
Final Exam