| 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 | Tuesday/Thursday, 1-3pm
Please
note that this course does not begin until 2/25 |
| Location | Parran Hall 224 |
| Schedule |
Spring, 2003 schedule
|
| Brochure |
Spring, 2003 brocure (PDF)
|
| Web page | http://www.hgen.pitt.edu/hugen2024/ |
| Textbook | Introduction to Bioinformatics, by
Attwood and Parry-Smith
Computational Molecular Biology, by
Pevzner |
Course
Description
This course will introduce several of the most
important current topics in bioinformatics, with an emphasis on statistical
principles and methods. The first half of the course will cover DNA
microarrays and related technologies. We will introduce the different
technologies and discuss data preprocessing and quality issues. We will
then discuss statistical methods for analyzing microarray data, including
clustering and classification. The second half of the course will deal
with algorithms related to similarity sequence analysis, DNA signal
recognition and gene finding. It will include limited computer lab time
introducing popular software used for database searches (e.g. BLAST) and
motif recognition. |
Prerequisites
Biostatistics 2041 and 2042 or
permission of the instructor. Basic programming skills and/or familiarity
with linear regression are also helpful. |
Assignments and Grading
There
will be assigned readings from the texts and from scientific
journals. There will be approximately four homework assignments during the
course of the quarter 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 presentation 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. |
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. This may
include, but is not limited to, the confiscation of the examination of any
individual suspected of violating University Policy. Furthermore, no
student may bring any unauthorized materials to an examination, including
dictionaries and programmable calculators. |
Disabilities
If you have a
disability that requires special testing accommodations or other classroom
modifications, 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. |
