FRS 003 — Sec. 014 — (1
unit) — CRN 53622 — M 2:10-3:00 pm — 5 Wellman
Computers and Biology
Instructor: Patrice Koehl, Department of Computer Science, College of
Engineering
Description: Most living organisms are complex assemblies of
cells, the building blocks for life. Each cell can be seen as a small chemical
factory, involving thousands of different players with a large range of size and
function. Among them biological macro-molecules hold a special place. These usually
large molecules serve as storage for the genetic information (the nucleic acids
such as DNA and RNA), and as key actors of cellular functions (the proteins).
Biochemistry, the field that studies these biomolecules, is currently experiencing
a major revolution. In hope of deciphering the rules that define cellular functions,
large scale experimental projects are performed as collaborative efforts involving
many laboratories in many countries. The main aims of these projects are to provide
maps of the genetic information of different organisms (the genome projects),
to derive as much structural information as possible on the products of the corresponding
genes (the structural genomics projects), and to relate these genes to the function
of their products, usually deduced from their structure (the functional genomics
projects). The success of these projects is completely changing the landscape
of research in biology. As of February 2004, more than 170 whole genomes have
been sequenced, corresponding to a database of over a million gene sequences.
The need to store this data efficiently and to analyze its contents has led to
the emergence of a collaborative effort between computer science and biology,
referred to as bio-informatics. In parallel, the repository of biomolecular structures
contains more than 24,000 structures of proteins and nucleic acids. The similar
need to organize and analyze the structural information contained in this database
is leading to the emergence of another partnership between computer science and
biology, namely bio-geometry.
Format: The seminar will meet for one hour each week. This series
of seminar will focus on the benefits of applying computing technology and science
to biological research. Some of the topics we will cover include: genome projects,
bio-molecules, biological databases, bioinformatics and computational structural
biology. "Information technology" usually does not mean much to biologists,
and reversely, "biology" does not mean much to a computer professional.
Our goal in this seminar series is to bring awareness to the students of the critical
need of interdisciplinary approaches to study biological problems, focusing on
the possibilities that computers create for biologists. Students will have to
read a scientific paper every week. Grading: Grading will
be based on Pass/Fail. The grade will be based on participation in class (20%),
some homework (20%), and a final written project (60%).
About the Instructor: