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Nonlinear biochemical oscillations page
W. M. Schaffer and T. V. Bronnikova
Ecology and Evolutionary Biology and Program in Applied
Mathematics
The University of Arizona
[ http://bill.srnr.arizona.edu/nlbchemd.html
]
To be alive is to evidence rhythmicities on time scales
ranging from fractions of a second to days and even years.
At least if one restricts one’s attention to the cellular
and sub-cellular levels of organization, the origins of
oscillatory dynamics are manifestly chemical. Or, to put
it another way, genes make proteins and proteins have interesting
dynamics.
This webpage contains information
about Biochemical Oscillators including Glycolysis and the
Peroxidase-Oxidase Reaction. You may also want to take a
look at the Peroxidase-Oxidase Animation
page.
Estimating genetic architecture of quantitative
traits
Zhao-Bang Zeng
Bioinformatics Research Center
North Carolina State University
[ Abstract ]
Understanding and estimating the structure and parameters
associated with the genetic architecture of quantitative
traits is a major research focus in quantitative genetics.
With the availability of a well-saturated genetic map of
molecular markers, it is possible to identify a major part
of the structure of the genetic architecture of quantitative
traits and to estimate the associated parameters. Multiple
interval mapping, which was recently proposed for simultaneously
mapping multiple quantitative trait loci (QTL), is well
suited to the identification and estimation of the genetic
architecture parameters, including the number, genomic positions,
effects and interactions of significant QTL and their contribution
to the genetic variance. With multiple traits and multiple
environments involved in a QTL mapping experiment, pleiotropic
effects and QTL by environment interactions can also be
estimated. I will briefly review the method and discuss
some issues associated with multiple interval mapping, such
as likelihood analysis and model selection. The potential
power and advantages of the method for mapping multiple
QTL and estimating the genetic architecture will be illustrated
through two Drosophila experiments. I will also point out
potential problems and difficulties in resolving the details
of the genetic architecture as well as other areas that
require further investigation.
DNA Computing
[ http://www.usc.edu/dept/molecular-science/fm-dna-computing.htm
]
The success of human civilization nowadays is highly dependent
on the development of electronic computers. The demand for
computational power has pushed electronic technology to
its physical limit. Hence, scienstists started to consider
the future of computation. The two major technologies that have
surfaced are quantum computation and molecular computation.
The Laboratory for Molecular Science explores the latter.
RICE!
[http://www.sciam.com/article.cfm?articleID=00000A4F-07FA-1CD0-B4A8809EC588EEDF&sc=I100322]
Believe it or not, rice has a much richer genome than humans!
Whereas estimates of the number of genes in the human genome
lie between 30,000 and 40,000, indica rice contains between
45,000 and 56,000 genes, and japonica rice could have as
many as 63,000 genes. The reason for the multitude, scientists
suggest, is because plants rely on gene duplication for
protein diversity.
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