A framework for mapping, visualisation and automatic model creation of signal-transduction networks.
about
Modeling for (physical) biologists: an introduction to the rule-based approachSynthetic biology: lessons from engineering yeast MAPK signalling pathwaysPathway connectivity and signaling coordination in the yeast stress-activated signaling network.MOSBIE: a tool for comparison and analysis of rule-based biochemical models.The gastrin and cholecystokinin receptors mediated signaling network: a scaffold for data analysis and new hypotheses on regulatory mechanismsNetworkViewer: visualizing biochemical reaction networks with embedded rendering of molecular interaction rules.Specification, annotation, visualization and simulation of a large rule-based model for ERBB receptor signaling.Programming biological models in Python using PySBBiographer: web-based editing and rendering of SBGN compliant biochemical networks.Reaction-contingency based bipartite Boolean modelling.Integrated module and gene-specific regulatory inference implicates upstream signaling networksAn Interaction Library for the FcεRI Signaling NetworkStochastic simulation of Boolean rxncon models: towards quantitative analysis of large signaling networks.Statistical Techniques Complement UML When Developing Domain Models of Complex Dynamical Biosystems.Rule-based modeling: a computational approach for studying biomolecular site dynamics in cell signaling systems.Systems biology for molecular life sciences and its impact in biomedicine.Information content and scalability in signal transduction network reconstruction formats.Enrichment map profiling of the cancer invasion front suggests regulation of colorectal cancer progression by the bone morphogenetic protein antagonist, gremlin-1.JAK/STAT signalling--an executable model assembled from molecule-centred modules demonstrating a module-oriented database concept for systems and synthetic biology.Network reconstruction and validation of the Snf1/AMPK pathway in baker's yeast based on a comprehensive literature review.Systems Level Analysis of the Yeast Osmo-Stat.Mathematical modeling of biological systems.Automated visualization of rule-based models.From word models to executable models of signaling networks using automated assembly.Network inference reveals novel connections in pathways regulating growth and defense in the yeast salt response.
P2860
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P2860
A framework for mapping, visualisation and automatic model creation of signal-transduction networks.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
2012年论文
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2012年论文
@zh-cn
name
A framework for mapping, visua ...... signal-transduction networks.
@en
type
label
A framework for mapping, visua ...... signal-transduction networks.
@en
prefLabel
A framework for mapping, visua ...... signal-transduction networks.
@en
P2093
P2860
P356
P1476
A framework for mapping, visua ...... signal-transduction networks.
@en
P2093
Carl-Fredrik Tiger
Falko Krause
Gunnar Cedersund
Hiroaki Kitano
Marcus Krantz
Robert Palmér
P2860
P356
10.1038/MSB.2012.12
P577
2012-04-24T00:00:00Z