Mathematical Science and Genomics
Hiep La
Genomics is a very popular project today. We should know about the
project, so whenever some one mention about it, we would know what he/she
is talking about. Genomics is a very broad field; therefore I will
narrow it down to Mathematical and Genomics.
Before reading about genomics, it would help to know some of the specialized
term they used for this project
Glossary
| Gene | A molecular structure combined of DNA which determine an organism trait |
| Genomics | A Project of Encoding gene |
| Mathematical Genomics | The usage of mathematics to understand genetic |
| Gene Finding | A Process of determining DNA coding |
| RNA | A combination of amino acids |
| DNA | Double helix string of RNA, how an organism turn out to be depend on the arrangement of DNA |
| Embryo | The first after conception in the uterus up to eight week of develop. Main organs are developed during this stage |
| Cell | Basic structure of a living organism |
| Cytoplasm | The jelly like substance that surrounds the nucleus of a cell |
| Mathematical epidemiology | Usage of math to study the spread of a disease |
| Hormone | A substance that is released into the blood stream by the endocrine system to control various body activities |
| Glands | An organ or groups of cells that specialized in synthesizing or secreting certain fluid, either used for body or secretion to out side |
| Cardiology | The study of the heart and how its functions |
| Neurophysiology | The study of neurons and how they pass information across the neuro-clift |
| NMR | Nuclear Magnetic Resonance, use to capture the activity level of a substance. |
1/ Subcellular molecular dynamics and control
of cell behaviour. This
topic focuses on the behaviour of
molecular systems that lead to
periodic behaviour, e.g., in cells
and in hormonal systems, bifurcation,
or other dynamical results that are
closely linked with the function of
the cell. Signal transduction and
calcium dynamics with their
implications for cellular behaviour,
as well as cellular and intra-
cellular oscillations and feedback
will form the main theme.
2/ The cellular cytoskeleton. The role
that mathematicians who have
studied detailed experimental systems
have played in understanding the
details of the cell will be highlighted.
An example is the detailed
demonstration of the involvement of
various parts of the structure of
the cytoskeleton in key steps of the
developmental process of a
drosophila embryo.
3/ Molecular motors to muscle motion.
The mathematical analysis of
molecular motors and the role which
such analysis plays in understanding
the way that molecular motors work
will be described. Experimental
biologists have studied muscles for
some time, and they now are
developing an understanding of how
motor aggregates (myosin) arrayed
along a one dimensional filament work
cooperatively to produce muscle
motion.
4/ Biotechnology applications of cell
biology. Cellular components can be
used in designing articificial skin
grafts, and artificial vessels. The
understanding of the interactions
of cells with their molecular
components and extracellular matrix
is vital to success in biomedical
applications. A particular problem
is how the cytoskeleton dynamics
affects signal transduction.
5/ Cell-surface receptors, the cytoskeleton,
and cell division. Two topics
will be discussed. One topic will
focus on the way that cells sense
their environment and respond to incoming
signals. Cell-surface
receptors are important and experiments
and models for the diffusional
and interaction dynamics of such systems
have been developed. The second
topic is on the problem of cytokinesis,
cell-division, and how the cell
accomplishes this complex task. Numerical
simulations of the dynamics of
the cytoskeleton have been carried
out.
6/ Cell motion and interaction: models
and visualization. The important
problem of cell motion from the point
of view of many cells, cell
aggregates, and interactions of cells
with one another and with their
environment will be discussed. Models
have been developed for cell
motion, chemotaxis, and interactions,
including immunological networks.
New computational techniques, e.g.,
immersed boundary methods, can be
used to show the motions and and interactions
of cells, e.g., in models
of biofilms
If you want to know more about Mathematical Science and Genomic, click
on this link to my genomics second page.
Link to
second Genomics page
Link
to Third Genomics page
Click Here:
For References
Genomics
Projects
Student
Websites