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
Link To Document :
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