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Systems cell biology
Systems cell biology melds high-throughput experimentation with quantitative analysis and modeling to understand many critical processes that contribute to cellular organization and dynamics. Recently, there have been several advances in technology and in the application of modeling approaches that...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Rockefeller University Press
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164942/ https://www.ncbi.nlm.nih.gov/pubmed/25225336 http://dx.doi.org/10.1083/jcb.201405027 |
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| author | Mast, Fred D. Ratushny, Alexander V. Aitchison, John D. |
| author_facet | Mast, Fred D. Ratushny, Alexander V. Aitchison, John D. |
| author_sort | Mast, Fred D. |
| collection | PubMed |
| description | Systems cell biology melds high-throughput experimentation with quantitative analysis and modeling to understand many critical processes that contribute to cellular organization and dynamics. Recently, there have been several advances in technology and in the application of modeling approaches that enable the exploration of the dynamic properties of cells. Merging technology and computation offers an opportunity to objectively address unsolved cellular mechanisms, and has revealed emergent properties and helped to gain a more comprehensive and fundamental understanding of cell biology. |
| format | Online Article Text |
| id | pubmed-4164942 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2014 |
| publisher | The Rockefeller University Press |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-41649422015-03-15 Systems cell biology Mast, Fred D. Ratushny, Alexander V. Aitchison, John D. J Cell Biol Reviews Systems cell biology melds high-throughput experimentation with quantitative analysis and modeling to understand many critical processes that contribute to cellular organization and dynamics. Recently, there have been several advances in technology and in the application of modeling approaches that enable the exploration of the dynamic properties of cells. Merging technology and computation offers an opportunity to objectively address unsolved cellular mechanisms, and has revealed emergent properties and helped to gain a more comprehensive and fundamental understanding of cell biology. The Rockefeller University Press 2014-09-15 /pmc/articles/PMC4164942/ /pubmed/25225336 http://dx.doi.org/10.1083/jcb.201405027 Text en © 2014 Mast et al. This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 3.0 Unported license, as described at http://creativecommons.org/licenses/by-nc-sa/3.0/). |
| spellingShingle | Reviews Mast, Fred D. Ratushny, Alexander V. Aitchison, John D. Systems cell biology |
| title | Systems cell biology |
| title_full | Systems cell biology |
| title_fullStr | Systems cell biology |
| title_full_unstemmed | Systems cell biology |
| title_short | Systems cell biology |
| title_sort | systems cell biology |
| topic | Reviews |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4164942/ https://www.ncbi.nlm.nih.gov/pubmed/25225336 http://dx.doi.org/10.1083/jcb.201405027 |
| work_keys_str_mv | AT mastfredd systemscellbiology AT ratushnyalexanderv systemscellbiology AT aitchisonjohnd systemscellbiology |