Grant: Discovery Grants Program - Individual
University of Western Ontario
$33,000.00
Theoretical aspects of biocomputing
EF 2008-09
Résumé
In the same way we use letters of the alphabet to write text, and bits 0 and 1 to write computer machine code, the four basic DNA units(adenine,guanine,cytosine,thymine) are used by Nature to write genetic information as DNA strands. The possibility of encoding symbolic information on DNA, and the fact that biochemical processes such as cut-and-paste of DNA strands can be used to perform arithmetic and logic operations,led to the development of the field of DNA computing. The primary goal of my research is to analyze this new way of storing and manipulating data on DNA strands. Indeed, bioinformation and biocomputation are different from their electronic counterparts in several aspects. First, biodata is not associated to a memory location but consists of infinitesimal DNA strands free-floating in solution. Second, in contrast to the electronic computer, data-encoding DNA strands can interact with each other in un-programmed ways. Third, each data encoding DNA strand is usually present in millions of identical copies and the bio-operations operate according to statistical laws.
This proposal addresses a) the issue of data encoding on DNA by studying properties that ensure that biocomputations proceed error-free, and b) lies the foundation of a "theory of bioinformation" by studying the algebraic properties of the new concepts defined in a). Another of the proposed research topics is an investigation into the mathematical properties of genomic bioinformation by i) exploring the use of Chaos Game Representation as a genomic signature, and ii) searching for the optimal tool to measure the complexity of genomes, both of which could lead to methods of quantifying and comparing genomes of various organisms. The last aspect of the proposed research is an exploration in the theory of self-assembly of small components into complex structures as a computational tool, which could provide insights in the way nature stores and processes information, as well as have implications for nanoscience and nanotechnology.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
203140-2007
Name nom
Kari, Lila
Department département
Computer Science
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2008
Competition year année de concours
2007
Award amount
33000
Program id
RGPIN
Program nane en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
331
Committee name en
Computing and Information Sciences - B
Committee name fr
Informatique - B
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
Research subject code
2712
Research subject group en
Information technology
Research subject group fr
Technologie de l'information
Research subject en
Theory of computation
Research subject fr
Théorie de calcul
Partie
2
Nb partie
5
Application title
Theoretical aspects of biocomputing
Keyword
NA
Application summary
In the same way we use letters of the alphabet to write text, and bits 0 and 1 to write computer machine code, the four basic DNA units(adenine,guanine,cytosine,thymine) are used by Nature to write genetic information as DNA strands. The possibility of encoding symbolic information on DNA, and the fact that biochemical processes such as cut-and-paste of DNA strands can be used to perform arithmetic and logic operations,led to the development of the field of DNA computing. The primary goal of my research is to analyze this new way of storing and manipulating data on DNA strands. Indeed, bioinformation and biocomputation are different from their electronic counterparts in several aspects. First, biodata is not associated to a memory location but consists of infinitesimal DNA strands free-floating in solution. Second, in contrast to the electronic computer, data-encoding DNA strands can interact with each other in un-programmed ways. Third, each data encoding DNA strand is usually present in millions of identical copies and the bio-operations operate according to statistical laws.
This proposal addresses a) the issue of data encoding on DNA by studying properties that ensure that biocomputations proceed error-free, and b) lies the foundation of a "theory of bioinformation" by studying the algebraic properties of the new concepts defined in a). Another of the proposed research topics is an investigation into the mathematical properties of genomic bioinformation by i) exploring the use of Chaos Game Representation as a genomic signature, and ii) searching for the optimal tool to measure the complexity of genomes, both of which could lead to methods of quantifying and comparing genomes of various organisms. The last aspect of the proposed research is an exploration in the theory of self-assembly of small components into complex structures as a computational tool, which could provide insights in the way nature stores and processes information, as well as have implications for nanoscience and nanotechnology.