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Tellurium notebooks—An environment for reproducible dynamical modeling in systems biology
The considerable difficulty encountered in reproducing the results of published dynamical models limits validation, exploration and reuse of this increasingly large biomedical research resource. To address this problem, we have developed Tellurium Notebook, a software system for model authoring, sim...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021116/ https://www.ncbi.nlm.nih.gov/pubmed/29906293 http://dx.doi.org/10.1371/journal.pcbi.1006220 |
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author | Medley, J. Kyle Choi, Kiri König, Matthias Smith, Lucian Gu, Stanley Hellerstein, Joseph Sealfon, Stuart C. Sauro, Herbert M. |
author_facet | Medley, J. Kyle Choi, Kiri König, Matthias Smith, Lucian Gu, Stanley Hellerstein, Joseph Sealfon, Stuart C. Sauro, Herbert M. |
author_sort | Medley, J. Kyle |
collection | PubMed |
description | The considerable difficulty encountered in reproducing the results of published dynamical models limits validation, exploration and reuse of this increasingly large biomedical research resource. To address this problem, we have developed Tellurium Notebook, a software system for model authoring, simulation, and teaching that facilitates building reproducible dynamical models and reusing models by 1) providing a notebook environment which allows models, Python code, and narrative to be intermixed, 2) supporting the COMBINE archive format during model development for capturing model information in an exchangeable format and 3) enabling users to easily simulate and edit public COMBINE-compliant models from public repositories to facilitate studying model dynamics, variants and test cases. Tellurium Notebook, a Python–based Jupyter–like environment, is designed to seamlessly inter-operate with these community standards by automating conversion between COMBINE standards formulations and corresponding in–line, human–readable representations. Thus, Tellurium brings to systems biology the strategy used by other literate notebook systems such as Mathematica. These capabilities allow users to edit every aspect of the standards–compliant models and simulations, run the simulations in–line, and re–export to standard formats. We provide several use cases illustrating the advantages of our approach and how it allows development and reuse of models without requiring technical knowledge of standards. Adoption of Tellurium should accelerate model development, reproducibility and reuse. |
format | Online Article Text |
id | pubmed-6021116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60211162018-07-06 Tellurium notebooks—An environment for reproducible dynamical modeling in systems biology Medley, J. Kyle Choi, Kiri König, Matthias Smith, Lucian Gu, Stanley Hellerstein, Joseph Sealfon, Stuart C. Sauro, Herbert M. PLoS Comput Biol Research Article The considerable difficulty encountered in reproducing the results of published dynamical models limits validation, exploration and reuse of this increasingly large biomedical research resource. To address this problem, we have developed Tellurium Notebook, a software system for model authoring, simulation, and teaching that facilitates building reproducible dynamical models and reusing models by 1) providing a notebook environment which allows models, Python code, and narrative to be intermixed, 2) supporting the COMBINE archive format during model development for capturing model information in an exchangeable format and 3) enabling users to easily simulate and edit public COMBINE-compliant models from public repositories to facilitate studying model dynamics, variants and test cases. Tellurium Notebook, a Python–based Jupyter–like environment, is designed to seamlessly inter-operate with these community standards by automating conversion between COMBINE standards formulations and corresponding in–line, human–readable representations. Thus, Tellurium brings to systems biology the strategy used by other literate notebook systems such as Mathematica. These capabilities allow users to edit every aspect of the standards–compliant models and simulations, run the simulations in–line, and re–export to standard formats. We provide several use cases illustrating the advantages of our approach and how it allows development and reuse of models without requiring technical knowledge of standards. Adoption of Tellurium should accelerate model development, reproducibility and reuse. Public Library of Science 2018-06-15 /pmc/articles/PMC6021116/ /pubmed/29906293 http://dx.doi.org/10.1371/journal.pcbi.1006220 Text en © 2018 Medley et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Medley, J. Kyle Choi, Kiri König, Matthias Smith, Lucian Gu, Stanley Hellerstein, Joseph Sealfon, Stuart C. Sauro, Herbert M. Tellurium notebooks—An environment for reproducible dynamical modeling in systems biology |
title | Tellurium notebooks—An environment for reproducible dynamical modeling in systems biology |
title_full | Tellurium notebooks—An environment for reproducible dynamical modeling in systems biology |
title_fullStr | Tellurium notebooks—An environment for reproducible dynamical modeling in systems biology |
title_full_unstemmed | Tellurium notebooks—An environment for reproducible dynamical modeling in systems biology |
title_short | Tellurium notebooks—An environment for reproducible dynamical modeling in systems biology |
title_sort | tellurium notebooks—an environment for reproducible dynamical modeling in systems biology |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6021116/ https://www.ncbi.nlm.nih.gov/pubmed/29906293 http://dx.doi.org/10.1371/journal.pcbi.1006220 |
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