The Simulation Gene Regulatory Boolean Network Based on the Sequential Circuit
Along with the completion of HGP (human genome project), huge amounts of genetic data constantly emerge. Research suggests that genes are not in independent existence and the expression of a gene will promote or inhibit the expression of another gene; if the expression of a gene makes the biochemica...
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Published in | Applied Mechanics and Materials Vol. 686; no. Information Technology for Manufacturing Systems V; pp. 463 - 469 |
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Main Author | |
Format | Journal Article |
Language | English |
Published |
Zurich
Trans Tech Publications Ltd
01.10.2014
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Subjects | |
Online Access | Get full text |
ISBN | 3038353264 9783038353263 |
ISSN | 1660-9336 1662-7482 1662-7482 |
DOI | 10.4028/www.scientific.net/AMM.686.463 |
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Summary: | Along with the completion of HGP (human genome project), huge amounts of genetic data constantly emerge. Research suggests that genes are not in independent existence and the expression of a gene will promote or inhibit the expression of another gene; if the expression of a gene makes the biochemical environment of cells changed, the expression of a series of genes will be affected. In order to get a better understanding of the relationship between genes, all sorts of gene regulatory network models have been established by scientists. In this paper, a variety of gene regulatory networks are first introduced according to the process of this subject research, and then the most basic network (i.e. Boolean network) is emphatically analyzed, and then a new method (i.e. Boolean network based on the theory of circuit) to describe Boolean network is drawn forth. After the shortcomings of the Boolean network proposed in the past are analyzed, a simulation circuit Boolean model is established using EDA technology in order to improve the Boolean network. |
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Bibliography: | Selected, peer reviewed papers from the 2014 5th International Conference on Information Technology for Manufacturing Systems (ITMS 2014), September 16-17, 2014, Singapore ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISBN: | 3038353264 9783038353263 |
ISSN: | 1660-9336 1662-7482 1662-7482 |
DOI: | 10.4028/www.scientific.net/AMM.686.463 |