Biology and, especially, medicine, are concerned with many deep problems
whose treatment and possible solution are very important for health and
welfare of menkind. Herewith, these biosciences turn out to be closely
related with human sciences. In the last decades, the utilization of
modern
mathematical methods and of computer science opened new horizons and became
key technologies for the treatment of those theoretical and applied
problems from bio- and human sciences. Nowadays, it looks more and more
promising that a very large number of data and their interrelations have
to be evaluated and anticipatory prediction can be done. The corresponding
data are coming from genetics and medicine.
This led to the new and exciting scientific fields of mathematical
computational biology, also called: bioinformatics. There are three
main fields of research done by Scientific Computing group of IAM:
modelling, observation and prediction of DNA microarray expression patterns,
metabolic engineering (human exercise metabolism) and heart research. Please
find closer explanations about these workgroups/projects under the corresponding
links:
Further
fields of investigations are given by brain research, and selected problems
from zoology, ecological systems and sports.
Seminar
on Computational Biology and Medicine was established in September
2003 as a weekly forum for welcoming and exchange with guest speakers of
Computational Biology and Medicine and of related fields from Turkey and
abroad, for initiating common research and, last but not least, to teach,
support and encourage interested students. If you are interested in our
seminar, please look at
http://www.iam.metu.edu.tr/research/groups/compbio/index.html
and
contact us!
Looking
forward to seeing you,
with
friendly regards,
Ankara, January 8, 2003
Seminar
on Computational Biology weekly on friday, METU, M-205: 16h
tea
and cookies: 15.30h
(sometimes
there are also time changes and additional meetings)
*)
: in collaboration with Biyotip Bilim ve Teknolojileri
YUUP Grubu on Bioinformatics/Computational Biology of METU
