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SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena
Motivation: Rapid advances in live-cell imaging analysis and mathematical modeling have produced a large amount of quantitative data on spatiotemporal dynamics of biological objects ranging from molecules to organisms. There is now a crucial need to bring these large amounts of quantitative biologic...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5181557/ https://www.ncbi.nlm.nih.gov/pubmed/27412095 http://dx.doi.org/10.1093/bioinformatics/btw417 |
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author | Tohsato, Yukako Ho, Kenneth H. L. Kyoda, Koji Onami, Shuichi |
author_facet | Tohsato, Yukako Ho, Kenneth H. L. Kyoda, Koji Onami, Shuichi |
author_sort | Tohsato, Yukako |
collection | PubMed |
description | Motivation: Rapid advances in live-cell imaging analysis and mathematical modeling have produced a large amount of quantitative data on spatiotemporal dynamics of biological objects ranging from molecules to organisms. There is now a crucial need to bring these large amounts of quantitative biological dynamics data together centrally in a coherent and systematic manner. This will facilitate the reuse of this data for further analysis. Results: We have developed the Systems Science of Biological Dynamics database (SSBD) to store and share quantitative biological dynamics data. SSBD currently provides 311 sets of quantitative data for single molecules, nuclei and whole organisms in a wide variety of model organisms from Escherichia coli to Mus musculus. The data are provided in Biological Dynamics Markup Language format and also through a REST API. In addition, SSBD provides 188 sets of time-lapse microscopy images from which the quantitative data were obtained and software tools for data visualization and analysis. Availability and Implementation: SSBD is accessible at http://ssbd.qbic.riken.jp. Contact: sonami@riken.jp |
format | Online Article Text |
id | pubmed-5181557 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-51815572016-12-27 SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena Tohsato, Yukako Ho, Kenneth H. L. Kyoda, Koji Onami, Shuichi Bioinformatics Original Papers Motivation: Rapid advances in live-cell imaging analysis and mathematical modeling have produced a large amount of quantitative data on spatiotemporal dynamics of biological objects ranging from molecules to organisms. There is now a crucial need to bring these large amounts of quantitative biological dynamics data together centrally in a coherent and systematic manner. This will facilitate the reuse of this data for further analysis. Results: We have developed the Systems Science of Biological Dynamics database (SSBD) to store and share quantitative biological dynamics data. SSBD currently provides 311 sets of quantitative data for single molecules, nuclei and whole organisms in a wide variety of model organisms from Escherichia coli to Mus musculus. The data are provided in Biological Dynamics Markup Language format and also through a REST API. In addition, SSBD provides 188 sets of time-lapse microscopy images from which the quantitative data were obtained and software tools for data visualization and analysis. Availability and Implementation: SSBD is accessible at http://ssbd.qbic.riken.jp. Contact: sonami@riken.jp Oxford University Press 2016-11-15 2016-07-13 /pmc/articles/PMC5181557/ /pubmed/27412095 http://dx.doi.org/10.1093/bioinformatics/btw417 Text en © The Author 2016. Published by Oxford University Press. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Papers Tohsato, Yukako Ho, Kenneth H. L. Kyoda, Koji Onami, Shuichi SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena |
title | SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena |
title_full | SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena |
title_fullStr | SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena |
title_full_unstemmed | SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena |
title_short | SSBD: a database of quantitative data of spatiotemporal dynamics of biological phenomena |
title_sort | ssbd: a database of quantitative data of spatiotemporal dynamics of biological phenomena |
topic | Original Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5181557/ https://www.ncbi.nlm.nih.gov/pubmed/27412095 http://dx.doi.org/10.1093/bioinformatics/btw417 |
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