Difference between revisions of "Boolean Networks"

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m (Shinwook moved page Boolean networks to Boolean Networks)
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Framework for Boolean Networks
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First proposed by Stuart Kauffman<ref>Kauffman, S. A. (1969). "Metabolic stability and epigenesis in randomly constructed genetic nets". Journal of Theoretical Biology. 22 (3): 437–467. doi:10.1016/0022-5193(69)90015-0. PMID 5803332</ref>, Boolean Network (BN) is a way to model the dynamics of Gene Regulatory Networks. A Boolean Network is comprised of gene states and their corresponding input (update) functions. Each gene takes on the value of either 1 or 0 (ON or OFF), and the state of the gene is the realization of inputs from the previous time step. In a general case of Random Boolean Networks,
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Following the convention of BN/PBN Toolbox (Lähdesmäki & Shmulevich)<ref>http://www.mybiosoftware.com/bnpbn-toolbox-toolbox-boolean-networks-probabilistic-boolean-networks.html</ref>, we have developed a general framework for implementing [https://github.com/boaguilar/multicell_boolean_networks Multicell Boolean Networks]<ref>https://github.com/boaguilar/multicell_boolean_networks</ref> in Biocellion. In Multicell Boolean Networks, the user is able to implement up to two different Boolean Networks for specified cells. It requires users to input 5 parameter file:
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# Cell Location File (i.e. pcc_qwang_phi0.12.txt)
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# NV File (i.e. pcc_qwang_.nv)
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# Truth Table File (i.e. pcc_qwang.tt)
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# varF File (i.e. pcc_qwang.varf)
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# Initial State File (i.e. pcc_qwang_phi0.12.st)

Revision as of 03:36, 4 March 2017

First proposed by Stuart Kauffman[1], Boolean Network (BN) is a way to model the dynamics of Gene Regulatory Networks. A Boolean Network is comprised of gene states and their corresponding input (update) functions. Each gene takes on the value of either 1 or 0 (ON or OFF), and the state of the gene is the realization of inputs from the previous time step. In a general case of Random Boolean Networks,

Following the convention of BN/PBN Toolbox (Lähdesmäki & Shmulevich)[2], we have developed a general framework for implementing Multicell Boolean Networks[3] in Biocellion. In Multicell Boolean Networks, the user is able to implement up to two different Boolean Networks for specified cells. It requires users to input 5 parameter file:

  1. Cell Location File (i.e. pcc_qwang_phi0.12.txt)
  2. NV File (i.e. pcc_qwang_.nv)
  3. Truth Table File (i.e. pcc_qwang.tt)
  4. varF File (i.e. pcc_qwang.varf)
  5. Initial State File (i.e. pcc_qwang_phi0.12.st)
    1. Kauffman, S. A. (1969). "Metabolic stability and epigenesis in randomly constructed genetic nets". Journal of Theoretical Biology. 22 (3): 437–467. doi:10.1016/0022-5193(69)90015-0. PMID 5803332
    2. http://www.mybiosoftware.com/bnpbn-toolbox-toolbox-boolean-networks-probabilistic-boolean-networks.html
    3. https://github.com/boaguilar/multicell_boolean_networks