DocumentCode
2700724
Title
Mathematical modelling in genetic networks: relationships between the genetic expression and both chromosomic breakage and positive circuits
Author
Aracena, J. ; Ben Lamine, S. ; Mermet, M.A. ; Cohen, O. ; Demongeot, J.
Author_Institution
Fac. of Med., Univ. Joseph Fourier, Grenoble, France
fYear
2000
fDate
2000
Firstpage
141
Lastpage
149
Abstract
The human genome has evolved from a primitive genome to its present state dispatched along the 23 pairs of chromosomes. This evolution has been ruled by the mutation process and also by the physiological and pathological reorganization of the genomic material inside or between the chromosomes, which condition the genomic variability. This reorganization starts at singular points on the short or long chromosomic arms, called crossover, translocation, insertion or break-points. In this paper, we show that these points, also called “weak points” or “hot spots” of the genome, are correlated independently of their origin. In addition, we give some properties of the interaction matrices in terms of attractors (generalizing some earlier results to the discrete case)
Keywords
biocybernetics; cellular biophysics; evolution (biological); genetics; matrix algebra; modelling; attractors; break-points; chromosomic arms; chromosomic breakage; correlation; crossover; evolution; genetic expression; genetic networks; genomic variability; hot spots; human genome; insertion; interaction matrices; mathematical modelling; mutation; pathological reorganization; physiological reorganization; positive circuits; singular points; translocation; weak points; Arm; Bioinformatics; Biological cells; DNA; Genetic mutations; Genomics; Humans; Intelligent networks; Mathematical model; Pathology;
fLanguage
English
Publisher
ieee
Conference_Titel
Bio-Informatics and Biomedical Engineering, 2000. Proceedings. IEEE International Symposium on
Conference_Location
Arlington, VA
Print_ISBN
0-7695-0862-6
Type
conf
DOI
10.1109/BIBE.2000.889601
Filename
889601
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