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The Cell Collective: Toward an open and collaborative approach to systems biology
BACKGROUND: Despite decades of new discoveries in biomedical research, the overwhelming complexity of cells has been a significant barrier to a fundamental understanding of how cells work as a whole. As such, the holistic study of biochemical pathways requires computer modeling. Due to the complexit...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3443426/ https://www.ncbi.nlm.nih.gov/pubmed/22871178 http://dx.doi.org/10.1186/1752-0509-6-96 |
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author | Helikar, Tomáš Kowal, Bryan McClenathan, Sean Bruckner, Mitchell Rowley, Thaine Madrahimov, Alex Wicks, Ben Shrestha, Manish Limbu, Kahani Rogers, Jim A |
author_facet | Helikar, Tomáš Kowal, Bryan McClenathan, Sean Bruckner, Mitchell Rowley, Thaine Madrahimov, Alex Wicks, Ben Shrestha, Manish Limbu, Kahani Rogers, Jim A |
author_sort | Helikar, Tomáš |
collection | PubMed |
description | BACKGROUND: Despite decades of new discoveries in biomedical research, the overwhelming complexity of cells has been a significant barrier to a fundamental understanding of how cells work as a whole. As such, the holistic study of biochemical pathways requires computer modeling. Due to the complexity of cells, it is not feasible for one person or group to model the cell in its entirety. RESULTS: The Cell Collective is a platform that allows the world-wide scientific community to create these models collectively. Its interface enables users to build and use models without specifying any mathematical equations or computer code - addressing one of the major hurdles with computational research. In addition, this platform allows scientists to simulate and analyze the models in real-time on the web, including the ability to simulate loss/gain of function and test what-if scenarios in real time. CONCLUSIONS: The Cell Collective is a web-based platform that enables laboratory scientists from across the globe to collaboratively build large-scale models of various biological processes, and simulate/analyze them in real time. In this manuscript, we show examples of its application to a large-scale model of signal transduction. |
format | Online Article Text |
id | pubmed-3443426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-34434262012-09-16 The Cell Collective: Toward an open and collaborative approach to systems biology Helikar, Tomáš Kowal, Bryan McClenathan, Sean Bruckner, Mitchell Rowley, Thaine Madrahimov, Alex Wicks, Ben Shrestha, Manish Limbu, Kahani Rogers, Jim A BMC Syst Biol Software BACKGROUND: Despite decades of new discoveries in biomedical research, the overwhelming complexity of cells has been a significant barrier to a fundamental understanding of how cells work as a whole. As such, the holistic study of biochemical pathways requires computer modeling. Due to the complexity of cells, it is not feasible for one person or group to model the cell in its entirety. RESULTS: The Cell Collective is a platform that allows the world-wide scientific community to create these models collectively. Its interface enables users to build and use models without specifying any mathematical equations or computer code - addressing one of the major hurdles with computational research. In addition, this platform allows scientists to simulate and analyze the models in real-time on the web, including the ability to simulate loss/gain of function and test what-if scenarios in real time. CONCLUSIONS: The Cell Collective is a web-based platform that enables laboratory scientists from across the globe to collaboratively build large-scale models of various biological processes, and simulate/analyze them in real time. In this manuscript, we show examples of its application to a large-scale model of signal transduction. BioMed Central 2012-08-07 /pmc/articles/PMC3443426/ /pubmed/22871178 http://dx.doi.org/10.1186/1752-0509-6-96 Text en Copyright ©2012 Helikar et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Helikar, Tomáš Kowal, Bryan McClenathan, Sean Bruckner, Mitchell Rowley, Thaine Madrahimov, Alex Wicks, Ben Shrestha, Manish Limbu, Kahani Rogers, Jim A The Cell Collective: Toward an open and collaborative approach to systems biology |
title | The Cell Collective: Toward an open and collaborative approach to systems biology |
title_full | The Cell Collective: Toward an open and collaborative approach to systems biology |
title_fullStr | The Cell Collective: Toward an open and collaborative approach to systems biology |
title_full_unstemmed | The Cell Collective: Toward an open and collaborative approach to systems biology |
title_short | The Cell Collective: Toward an open and collaborative approach to systems biology |
title_sort | cell collective: toward an open and collaborative approach to systems biology |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3443426/ https://www.ncbi.nlm.nih.gov/pubmed/22871178 http://dx.doi.org/10.1186/1752-0509-6-96 |
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