Project
Title: DNA Codes Generating.
Adviser: Vyacheslav Rykov
Description. We will use new theoretical results for designing new DNA codes generating
algorithms. The weighted string metrics based on the concept of block isomorphic subsequences will be used
for determination a thermodynamic distance function on single stranded DNA
sequences and code distance. Our model captures a key aspect of the nearest
neighbor thermodynamic model for hybridized DNA duplexes. Thermodynamic
distance functions are important components in the construction of DNA codes and
DNA codes are important components in biomolecular computing and other
biotechnical applications that employ DNA hybridization assays. We will use the
Monte-Carlo method for generating Markov chains quaternary sequences and
designed algorithms for generating new DNA codes.
In this project we
propose that the participating student engages in the following activities:
A.
Study the theoretical aspects of the problem by using following sources:
1. A.G. D’yachkov, A.J. Macula_, W.K. Pogozelski,
T.E. Renz, V.V. Rykov, and D.C. Torney,
A Weighted Insertion-Deletion Stacked Pair Thermodynamic Metric for DNA Codes. The Tenth International Meeting on DNA Computing.
2 A.G. D’yachkov, A.J. Macula_, W.K.
Pogozelski, T.E. Renz, V.V.
Rykov, And D.C. Torney, An Insertion-Deletion Like Metric with
Application to DNA Hybridization Thermodynamic Modeling, IEEE Information Theory, 2004 .
3. A. Serfling,
Approximation Theorems of Mathematical Statistics, John Wiley, 1985.
4. F.J. MacWilliams, N.J.A. Sloan,
The Theory of Error - Correcting Codes,
This
will help her/him understand the research topic and serve as an introduction to
the final, written, research report.
B. Develop algorithms, generating Markov sources
of strings and generating new DNA codes.
C. Write computer programs
for generating random strings, and generating DNA codes.
D. Run the
programs and help the adviser to generate new DNA codes, and make web site with
generated codes.
E. Put together
her/his findings, written software, significant graphs, tables, and so on in
the final research report to be presented at the
MAM Symposium.
OTHER REQUIREMENTS: The
students interested in the project above are expected to have taken and passed
with maximal grades or close MATH 1950(Calc I), MATH 1960(Calc II), MATH 4050
(Linear Algebra) and MATH 4740 (Introduction to Probability and
Statistics). They should be familiar with computers and MAPLE, be willing
to learn C++ and taking MATH 8670 (Topics in Probability/Statistics)
in the spring semester. The student is also expected to meet with the adviser a
couple of times a week, (or communicate actively by e-mail) for discussions,
guidance, and progress reports during the preparation period of the
project.