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 inApplied Mechanics and Materials Vol. 686; no. Information Technology for Manufacturing Systems V; pp. 463 - 469
Main Author Fang, Zhen Cheng
Format Journal Article
LanguageEnglish
Published Zurich Trans Tech Publications Ltd 01.10.2014
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ISBN3038353264
9783038353263
ISSN1660-9336
1662-7482
1662-7482
DOI10.4028/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.
Bibliography:Selected, peer reviewed papers from the 2014 5th International Conference on Information Technology for Manufacturing Systems (ITMS 2014), September 16-17, 2014, Singapore
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ISBN:3038353264
9783038353263
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.686.463