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Visualizing time-related data in biology, a review

Time is of the essence in biology as in so much else. For example, monitoring disease progression or the timing of developmental defects is important for the processes of drug discovery and therapy trials. Furthermore, an understanding of the basic dynamics of biological phenomena that are often str...

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Detalles Bibliográficos
Autores principales: Secrier, Maria, Schneider, Reinhard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4171679/
https://www.ncbi.nlm.nih.gov/pubmed/23585583
http://dx.doi.org/10.1093/bib/bbt021
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author Secrier, Maria
Schneider, Reinhard
author_facet Secrier, Maria
Schneider, Reinhard
author_sort Secrier, Maria
collection PubMed
description Time is of the essence in biology as in so much else. For example, monitoring disease progression or the timing of developmental defects is important for the processes of drug discovery and therapy trials. Furthermore, an understanding of the basic dynamics of biological phenomena that are often strictly time regulated (e.g. circadian rhythms) is needed to make accurate inferences about the evolution of biological processes. Recent advances in technologies have enabled us to measure timing effects more accurately and in more detail. This has driven related advances in visualization and analysis tools that try to effectively exploit this data. Beyond timeline plots, notable attempts at more involved temporal interpretation have been made in recent years, but awareness of the available resources is still limited within the scientific community. Here, we review some advances in biological visualization of time-driven processes and consider how they aid data analysis and interpretation.
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spelling pubmed-41716792014-09-23 Visualizing time-related data in biology, a review Secrier, Maria Schneider, Reinhard Brief Bioinform Papers Time is of the essence in biology as in so much else. For example, monitoring disease progression or the timing of developmental defects is important for the processes of drug discovery and therapy trials. Furthermore, an understanding of the basic dynamics of biological phenomena that are often strictly time regulated (e.g. circadian rhythms) is needed to make accurate inferences about the evolution of biological processes. Recent advances in technologies have enabled us to measure timing effects more accurately and in more detail. This has driven related advances in visualization and analysis tools that try to effectively exploit this data. Beyond timeline plots, notable attempts at more involved temporal interpretation have been made in recent years, but awareness of the available resources is still limited within the scientific community. Here, we review some advances in biological visualization of time-driven processes and consider how they aid data analysis and interpretation. Oxford University Press 2014-09 2013-04-12 /pmc/articles/PMC4171679/ /pubmed/23585583 http://dx.doi.org/10.1093/bib/bbt021 Text en © The Author 2013. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/3.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Papers
Secrier, Maria
Schneider, Reinhard
Visualizing time-related data in biology, a review
title Visualizing time-related data in biology, a review
title_full Visualizing time-related data in biology, a review
title_fullStr Visualizing time-related data in biology, a review
title_full_unstemmed Visualizing time-related data in biology, a review
title_short Visualizing time-related data in biology, a review
title_sort visualizing time-related data in biology, a review
topic Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4171679/
https://www.ncbi.nlm.nih.gov/pubmed/23585583
http://dx.doi.org/10.1093/bib/bbt021
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