BIOI 7710 / 7711:
Introduction to Bioinformatics

Tuesdays and Thursdays, 10:30am - 11:45pm
RC-1 North Tower, Room P18-6107
Anschutz Medical Campus, UCDHSC

Prof. Larry Hunter  
Office: RC-1 S. Room L18-6101  
Phone: 303-724-3574  
E-mail: Larry.Hunter@uchsc.edu  
http://compbio.uchsc.edu/hunter/  
Office hours by appointment  

TAs: Ron Schuyler and Hannah Tipney 
Office: RC-1 S, Room L18-6400A  
Phone: 303-803-3893 (Ron)  
Phone: 303-724-3369 (Hannah)  
E-mail: ron_schuyler@yahoo.com  
E-mail: Hannah.Tipney@uchsc.edu  
Office hours: 10am-11am Tue/Thur  

   
   


Course description

An introduction to the theory and practice of bioinformatics and computational biology. Topics include: the analysis of macromolecular sequences, structures, gene expression arrays, proteomics, and management of the biological literature. Requirements and prerequisites

Goals for the course: The course will familiarize students with the tools and principles of contemporary bioinformatics. By the end of the course, students will have a working knowledge of a variety of publicly available data and computational tools important in bioinformatics, and a grasp of the underlying principles that is adequate for them to evaluate and use novel techniques as they arise in the future.

This course is central to the educational mission of our Computational Bioscience PhD program.

Generally, I dislike lecture courses, but there is so much material that you have to know in order to be a well educated researcher in bioinformatics (and to pass the preliminary exam!) that I feel we have no choice. Do know that I want you to ask questions, raise topics you'd like to know more about, and otherwise make this course more your own.


News

  • We will meet on Friday Dec 14 in P18-6107 from 10:30-11:45 (usual place and time, different day) for oral presentations of your projects. Each student will give a 15 minute presentation (with 5 minutes for questions). Your written project papers (and code) are also due on the 14th. You may have an extension until Sunday night (Dec 16) on request. There will NOT be a final exam. Do note that this material makes up the bulk of what your qualifying exam will test, so it's worth studying carefully anyway.
  • No class on Nov 20, due to the all day core exam. We will have a brief check-in about the course project on Wednesday Nov 21, 12:30pm-1:00pm in room L18-6107 (down the hall from our usual meeting place).
  • Problem set 3, related to the project, was emailed to you on Nov. 6, and is due before the start of class on Nov. 13.
  • A separate web page describing our course team project is up.
  • Ron will be teaching a lecture on phylogenetic inference October 25.
  • Problem set 2 will be released tuesday morning, and is due a week later, at the start of class on October 29.
  • The first Project task is up. Your plans are due Tuesday, September 25, and your task paper is due Thursday, October 4.
  • Due to the core exam, the problem set is due Thursday, Sept 20 before the start of class.
  • The first problem set is up. It is due September 18 before class.
  • I will be out of town on September 25. Hannah will teach.
  • The class meets for the first time on Tuesday, August 28 at 11am. We will meet in the P18-6107 classroom in RC-1 N on the Fitzsimons campus.

Syllabus

Each of the following topics will be covered in one or more class lectures. This list is tentative until the lecture is posted. Lecture notes, readings and links to external web sites will be provided before each lecture. NB: Some PDF versions of the lecture notes have formating problems leading to small differences from the PPT originals -- when there is a conflict, use the PPT.

  1. What is Bioinformatics Research? (No lecture notes) (readings) (no links)
  2. Molecular Biology Databases (ppt pdf NB: these files are unusually large this week due to many graphics) (readings) (links)
  3. Database Search and Sequence Alignment (ppt pdf) (readings) (links)
  4. Multiple Alignments and Sequence (ppt pdf) (readings) (links)
  5. Hidden Markov Models (ppt pdf) (readings) (links)
  6. Sequence Assembly (ppt pdf) (readings) (links)
  7. Gene Finding (ppt pdf) (readings) (links)
  8. Protein Structure and its Prediction (ppt pdf) (readings) (links)
  9. Protein structure: prediction (2), Molecular Mechanics, Dynamics & Docking (ppt pdf + movies) (readings) (links)
  10. Computational Phylogeny (ppt pdf) (readings) (links)
  11. Genetic Analysis (Linkage & Association) (ppt) (pdf) (readings) (links)
  12. Gene Expression Arrays (ppt pdf) (readings) (links)
  13. Mass Spec & Proteomics (ppt pdf) (readings) (links)
  14. Text mining and biomedical language processing (ppt pdf) (readings) (links)
  15. Everything else (ppt pdf) (readings) (links)

Grading

The goal of this course is to get you familiar with the use of bioinformatics techniques in addressing real scientific problems. The 7710 students will just have to do the problem sets, but the 7711 students will also have a series of exercises that are intended to reflect realistic research tasks.

Problem sets: There will be several problem sets, each of which is expected to take you four to eight hours of work. These problem sets are intended to give you hands on experience with the work of computational biology, and should be learning experiences as well as evaluation tools. Ron will be grading these, so please take your problem set-related questions to him.

The 7711 students will also be assigned a series of research exercises as well, culminating in the design and execution of a course project. Hannah will be grading and supervising these exercises and projects, so please take your project-related questions to her.

The assignments will be posted on line.

Final exam / project: The 7710 students have a choice of a final exam or a course project. The 7711 students must take the final exam and do a course project.


Honor Code

The Graduate School requires that this honor code be included in all course syllabi.

Education at the Health Sciences Center is conducted under the honor system. All students who have entered health professional programs should have developed the qualities of honesty and integrity, and each student should apply these principles to his or her academic and subsequent professional career. All students are also expected to have achieved a level of maturity, which is reflected by appropriate conduct at all times.

Note that our educational mission statement includes even stronger goals for your professional behavior. Please feel free to raise issues related to those goals in class.

   
         
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