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SED-ML – An XML Format for the Implementation of the MIASE Guidelines
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SED-ML – An XML Format for the Implementation of the MIASE Guidelines (2008)SED-ML – An XML Format for the Implementa…Standards, dissemination, and best practices in systems biology (2023)Standards, dissemination, and…Relating simulation studies by provenance—Developing a family of Wnt signaling models (2021)Relating simulation studies b…A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows (2019)A demonstration of modularity…NeuroManager: a workflow analysis based simulation management engine for computational neuroscience (2015)NeuroManager: a workflow anal…Meeting report from the fourth meeting of the Computational Modeling in Biology Network (COMBINE) (2014)Meeting report from the fourt…Learning from the Past: Approaches for Reproducibility in Computational Neuroscience (2013)Learning from the Past: Appro…Connecting Models to Data in Multiscale Multicellular Tissue Simulations (2013)Connecting Models to Data in …Meeting report from the first meetings of the Computational Modeling in Biology Network (COMBINE) (2011)Meeting report from the first…Towards Enhanced Retrieval of Biological Models through Annotation-Based Ranking (2009)Towards Enhanced Retrieval of…Data Integration and Semantic Enrichment of Systems Biology Models and Simulations (2009)Data Integration and Semantic…ModelDB: Making Models Publicly Accessible to Support Computational Neuroscience (2003)Model storage, exchange and integration (2006)The CellML Model Repository (2008)Taverna: a tool for the composition and enactment of bioinformatics workflows (2004)A survey of data provenance in e-science (2005)Data-intensive applications, challenges, techniques and technologies: A survey on Big Data (2014)BrainGrid+Workbench: High-performance/high-quality neural simulation (2017)Integrating the Allen Brain Institute Cell Types Database into Automated Neuroscience Workflow (2017)Reproducible computational biology experiments with SED-ML - The Simulation Experiment Description Markup Language (2011)The Physiome Model Repository 2 (2011)The CombineArchiveWeb application – A web based tool to handle files associated with modelling results (2014)Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3) (2018)Kepler: An Extensible System for Design and Execution of Scientific Workflows (2004)Scientific workflow management and the Kepler system (2005)Workflows and e-Science: An overview of workflow system features and capabilities (2008)Conceptual modelling for simulation Part I: definition and requirements (2007)The ODD protocol: A review and first update (2010)BioModels—15 years of sharing computational models in life science (2019)Towards Bayesian Model-Based Demography (2021)What does research reproducibility mean? (2016)Towards FAIR principles for research software (2019)Reproducibility standards for machine learning in the life sciences (2021)From FAIR to CURE: guidelines for computational models of biological systems (2026)Why Most Published Research Findings Are False (2005)Why Most Published Research Findings Are False (2005)Credibility, Replicability, and Reproducibility in Simulation for Biomedicine and Clinical Applications in Neuroscience (2018)Evaluating the Reproducibility of Physiological Stress Detection Models (2020)Neuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysis (2022)
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  • 2013Learning from the Past: Approaches for Reproducibility in Computational Neuroscience61 cited
  • 2014Meeting report from the fourth meeting of the Computational Modeling in Biology Network (COMBINE)29 cited
  • 2021Relating simulation studies by provenance—Developing a family of Wnt signaling models23 cited
  • 2023Standards, dissemination, and best practices in systems biology15 cited
  • 2015NeuroManager: a workflow analysis based simulation management engine for computational neuroscience12 cited
  • 2013Connecting Models to Data in Multiscale Multicellular Tissue Simulations9 cited
  • 2009Data Integration and Semantic Enrichment of Systems Biology Models and Simulations8 cited
  • 2019A demonstration of modularity, reuse, reproducibility, portability and scalability for modeling and simulation of cardiac electrophysiology using Kepler Workflows8 cited
  • 2011Meeting report from the first meetings of the Computational Modeling in Biology Network (COMBINE)8 cited
  • 2009Towards Enhanced Retrieval of Biological Models through Annotation-Based Ranking6 cited

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