3D Visualization Of Simulation Data In A Network Context: A Case Study From Systems Biology

2008 ◽  
Author(s):  
P. Droste ◽  
F. Hadlich ◽  
W. Wiechert ◽  
E. Qeli
Keyword(s):  
Systems Biology ◽  
3D Visualization ◽  
Simulation Data

Systems Biology and translational oncology: a case study of predictive modeling in molecular biology of the lung cancer

2010 ◽  
Vol 150 ◽  
pp. 542-543
Author(s):  
Fortunato Bianconi ◽  
Mauro Boccadoro ◽  
Vienna Ludovini ◽  
Paolo Valigi
Keyword(s):  
Lung Cancer ◽  
Systems Biology ◽  
Molecular Biology ◽  
Predictive Modeling ◽  
Translational Oncology

Systems biology of persistent infection: tuberculosis as a case study

2008 ◽  
Vol 6 (7) ◽  
pp. 520-528 ◽  
Author(s):  
Douglas Young ◽  
Jaroslav Stark ◽  
Denise Kirschner
Keyword(s):  
Systems Biology ◽  
Persistent Infection

scholarly journals Estimating cellular pathways from an ensemble of heterogeneous data sources

2014 ◽  
Author(s):  
Alexander Franks ◽  
Florian Markowetz ◽  
Edoardo Airoldi
Keyword(s):  
Systems Biology ◽  
Expert Knowledge ◽  
Mapk Pathway ◽  
Heterogeneous Data ◽  
Data Sources ◽  
Pheromone Response ◽  
Specific Strategy ◽  
Heterogeneous Data Sources ◽  
Cellular Pathways

Building better models of cellular pathways is one of the major challenges of systems biology and functional genomics. There is a need for methods to build on established expert knowledge and reconcile it with results of high-throughput studies. Moreover, the available data sources are heterogeneous and need to be combined in a way specific for the part of the pathway in which they are most informative. Here, we present a compartment specific strategy to integrate edge, node and path data for the refinement of a network hypothesis. Specifically, we use a local-move Gibbs sampler for refining pathway hypotheses from a compendium of heterogeneous data sources, including novel methodology for integrating protein attributes. We demonstrate the utility of this approach in a case study of the pheromone response MAPK pathway in the yeast S. cerevisiae.

Multimethod optimization in the cloud: A case-study in systems biology modelling

2018 ◽  
Vol 30 (12) ◽  
pp. e4488 ◽  
Author(s):  
Patricia González ◽  
David R. Penas ◽  
Xoan C. Pardo ◽  
Julio R. Banga ◽  
Ramón Doallo
Keyword(s):  
Systems Biology ◽  
Multimethod Optimization

Agent-Based Modelling in Multicellular Systems Biology

2020 ◽  
pp. 369-389
Author(s):  
Sara Montagna ◽  
Andrea Omicini
Keyword(s):  
Developmental Biology ◽  
Drosophila Melanogaster ◽  
Systems Biology ◽  
Computational Models ◽  
The Self ◽  
Agent Based Simulation ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Multi Agent

This chapter aims at discussing the content of multi-agent based simulation (MABS) applied to computational biology i.e., to modelling and simulating biological systems by means of computational models, methodologies, and frameworks. In particular, the adoption of agent-based modelling (ABM) in the field of multicellular systems biology is explored, focussing on the challenging scenarios of developmental biology. After motivating why agent-based abstractions are critical in representing multicellular systems behaviour, MABS is discussed as the source of the most natural and appropriate mechanism for analysing the self-organising behaviour of systems of cells. As a case study, an application of MABS to the development of Drosophila Melanogaster is finally presented, which exploits the ALCHEMIST platform for agent-based simulation.

scholarly journals Conservation Choices in the Face of Sea-Level Rise: A Case Study on Marsh Migration from Phippsburg, Maine

2017 ◽  
Vol 46 (2) ◽  
pp. 388-419 ◽  
Author(s):  
Sahan T. M. Dissanayake ◽  
Meagan K. Hennessey
Keyword(s):  
Sea Level Rise ◽  
Sea Level ◽  
Land Conservation ◽  
Simulation Data ◽  
Sea Levels ◽  
Decision Method ◽  
The Face ◽  
Rising Sea Levels ◽  
Knapsack Algorithm

We analyze the benefits of incorporating climate change into land conservation decisions using wetland migration under rising sea-levels as a case study. We use a simple and inexpensive decision method, a knapsack algorithm implemented in Excel, with (1) simulation data to show that ignoring sea-level rise predictions lead to suboptimal outcomes, and (2) an application to land conservation in Phippsburg, Maine to show the real-world applicability. The simulation shows an 11-percent to almost 30-percent gain in increased benefits when accounting for sea-level rise. The results highlight that it is possible to, and important to, incorporate sea-level rise into conservation planning.

Emergence

2017 ◽  
Author(s):  
Matthew Croasmun
Keyword(s):  
Systems Biology ◽  
Philosophy Of Science ◽  
Downward Causation ◽  
Feedback Loops ◽  
Emergent Properties ◽  
Middle Ground ◽  
Emergence Theory ◽  
Multiple Levels ◽  
Causal Structures

Emergence theory in philosophy of science is introduced, first in modest terms of the emergent properties exhibited by complex wholes that are not exhibited by their constituent parts. Then, emergence is treated as a trans-ordinal theory that stakes out a middle ground between reductionism and dualism. The tension between supervenience and downward causation is described as the generative dialectic of emergence. The coherence of downward causation is debated and ultimately affirmed on account of the prevalence of downward causation in the sorts of accounts produced by fields like systems biology. Racism is treated as a case study of the sorts of causal feedback loops generated by complex causal structures that operate at multiple levels of hierarchy.

Systems Biology of Metal Tolerance in Plants: A Case Study on the Effects of Cd Exposure on Two Model Plants

2019 ◽  
pp. 23-37
Author(s):  
Annelie Gutsch ◽  
Stéphanie Vandionant ◽  
Kjell Sergeant ◽  
Marijke Jozefczak ◽  
Jaco Vangronsveld ◽  
...  
Keyword(s):  
Systems Biology ◽  
Metal Tolerance ◽  
Cd Exposure
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