Tuesdays and Thursdays, 1-2:30pm
Prof. Larry Hunter |
Office: RC-1 S. Room L18-6101
Office hours by appointment
Meg Pirrung, TA
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 also the beginning of the transition from well-educated students to independent researchers. The work in the course involves a series of supervised activities that introduce the activities of research. These will include:
This is a team-taught course. You will get a chance to meet and interact with many of the instructors in the computational bioscience program. The faculty include:
Much of the material presented in this course will be in the form of lectures. Generally, we 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 we feel we have no choice. Do know that we want you to ask questions, raise topics you'd like to know more about, and otherwise make this course more your own.
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 external links will be posted here before or after each class depented on speaker preference. The professor for each topic is indicated by last name. Classes will be held in RC1N - P18 6123.
9/17/13 Sequence Assembly and Next Gen Sequencing Leach
Proposal Deadline Document
10/15/13 EHR/Clincial Research Informatics Kahn
10/17/13 BioNLP Cohen
10/22/13 TED Talks #1 (Hunter, Lozupone, Phang, Strong)
PROPOSAL FIRST DRAFT DUE TO TA
PEER REVIEW DOCUMENTS DUE TO TA & Bring Hardcopy to class
PROPOSAL FINAL DRAFT DUE
The goal of this course is to get you familiar with the use of bioinformatics techniques in addressing real scientific problems. Grading will be largely on the basis of a course project. The project will involve several stages: producing a project plan, revising your plan in light of critique, and an oral presentation of the project plan. The project will be executed in 7712 in the 2nd semester (including a presentation of a progress report, a final oral presentation, and a final written presentation). In addition to this work, you will be required to produce written critiques of others' research plans. The dedication and intensity you bring to these tasks is a good predictor of your likely success as an independent researchers, so we will add a subjective component to your grade that reflects what the faculty believe is the level of effort and committment you show toward the work; this includes showing up for class prepared, participating actively in discussions and activities, and in your ability to get high quality work done in the face of the many other requirements on your time (yes, including core).
While it may be hard for you to wrap your head around, no one will ever care about the grades you get in graduate school (assuming you pass, of course). Now the important thing is to make the transition to producing significant, original research that will make an impact on a broad community. Your ability to master existing material (both in textbooks and in original research publications) is assumed, and will be tested during your preliminary exam. What we hope to teach in this course (and will be evaluating you on) is the development of a creative and scholarly approach to doing new science.
Honor CodeThe Graduate School requires that this honor code be included in all course syllabi.
Education at the University of Colorado, Denver 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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