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Biochemistry, Biophysics, and Structural Biology Commons

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Biotechnology

University of Nebraska - Lincoln

Boolean networks

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Full-Text Articles in Biochemistry, Biophysics, and Structural Biology

Identification Of Biologically Essential Nodes Via Determinative Power In Logical Models Of Cellular Processes, Trevor Pentzien, Bhanwar L. Puniya, Tomas Helikar, Mihaela T. Matache Aug 2018

Identification Of Biologically Essential Nodes Via Determinative Power In Logical Models Of Cellular Processes, Trevor Pentzien, Bhanwar L. Puniya, Tomas Helikar, Mihaela T. Matache

Biochemistry -- Faculty Publications

A variety of biological networks can bemodeled as logical or Boolean networks. However, a simplification of the reality to binary states of the nodes does not ease the difficulty of analyzing the dynamics of large, complex networks, such as signal transduction networks, due to the exponential dependence of the state space on the number of nodes. This paper considers a recently introduced method for finding a fairly small subnetwork, representing a collection of nodes that determine the states of most other nodes with a reasonable level of entropy. The subnetwork contains the most determinative nodes that yield the highest information ...


The Colomoto Interactive Notebook: Accessible And Reproducible Computational Analyses For Qualitative Biological Networks, Aurelien Naldi, Celine Hernandez, Nicolas Levy, Gautier Stoll, Pedro T. Monteiro, Claudine Chaouiya, Tomáš Helikar, Andrei Zinovyev, Laurence Calzone, Sarah Cohen-Boulakia, Denis Thieffry, Loic Pauleve Jan 2018

The Colomoto Interactive Notebook: Accessible And Reproducible Computational Analyses For Qualitative Biological Networks, Aurelien Naldi, Celine Hernandez, Nicolas Levy, Gautier Stoll, Pedro T. Monteiro, Claudine Chaouiya, Tomáš Helikar, Andrei Zinovyev, Laurence Calzone, Sarah Cohen-Boulakia, Denis Thieffry, Loic Pauleve

Biochemistry -- Faculty Publications

Analysing models of biological networks typically relies on workflows in which different software tools with sensitive parameters are chained together,many times with additional manual steps. The accessibility and reproducibility of such workflows is challenging, as publications often overlook analysis details, and because some of these tools may be difficult to install, and/or have a steep learning curve. The CoLoMoTo Interactive Notebook provides a unified environment to edit, execute, share, and reproduce analyses of qualitative models of biological networks. This framework combines the power of different technologies to ensure repeatability and to reduce users’ learning curve of these technologies ...