| Instructors |
Eleanor Feingold, Ph.D.
Crabtree A310B
(412)383-8599
eleanor.feingold@hgen.pitt.edu |
Takis Benos, Ph.D.
Crabtree A309
(412)648-3315
takis.benos@hgen.pitt.edu |
Lisa Weissfeld, Ph.D.
Parran 305
(412)624-3024
lweiss@pitt.edu |
| Office Hours | By appointment |
| Time | Thursday, 9:00-10:50 am
|
| Location |
Crabtree Hall A216 (lectures) and
Benedum Hall computing lab (labs) |
| Schedule | Spring, 2004 schedule |
| Web page | http://www.hgen.pitt.edu/hugen2024/ |
| Textbook |
Introduction to Bioinformatics, by Attwood and Parry-Smith (Prentice Hall)
The Analysis of Gene Expression Data, by Parmigiani et al. (Springer) |
Course Description
This course will introduce several of the most important current topics in
bioinformatics, with emphasis on applications of current state-of-the-art methods and software in analysis of biological
data. The first half of the course will deal with algorithms related to DNA and protein sequence analysis. It will include
limited computer lab time introducing popular software used for database searches (e.g. BLAST) and motif recognition.
The second half of the course will cover DNA microarrays and related high-throughput technologies. We will introduce
the different technologies available for monitoring gene expression and discuss data preprocessing and quality issues.
We will then discuss statistical methods for analyzing microarray data, including clustering and classification techniques.
Software tools for microarray analysis will be introduced in computer lab sessions.
|
Prerequisites
Biostatistics 2041 or permission of the instructor. Basic programming skills and/or familiarity with linear regression are also helpful.
|
Assignments and Grading
There will be approximately four homework assignments during the course of the semester to give students hands-on
experience with the types of data that are discussed in lecture. There will be a small final project consisting of a paper
critique or an analysis of a dataset. Students are encouraged to work cooperatively on assignments, but must turn in
final written work that is their own. Grading will be 20% for each homework assignment and 20% for the final project.
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Disabilities
If you have a disability that requires special accommodation, you need to notify both the instructor and the Disability
Resources and Services no later than the 2nd week of the term. You may be asked to provide documentation of your
disability to determine the appropriateness of accommodations. To notify Disability Resources and Services, call 648-
7890 (Voice or TDD) to schedule an appointment. The Office is located in 216 William Pitt Union.
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Academic Integrity
Students in this course will be expected to comply with the University of Pittsburgh's Policy on Academic Integrity.
Any student suspected of violating this obligation for any reason during the semester will be required to participate in
the procedural process, initiated at the instructor level, as outlined in the University Guidelines on Academic Integrity.
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