Article (Scientific journals)
Visualizing time-related data in biology, a review
Secrier, Maria; Schneider, Reinhard
2013In Briefings in Bioinformatics
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Keywords :
visualization software; epresentations of time; ynamics of processes
Abstract :
[en] Time is of the essence, also in biology. Monitoring disease progression or timing developmental defects are key aspects in the process of drug discovery and therapy trial. Furthermore, before deciphering the course of evolution of these complex processes, we need an understanding of the basic dynamics of biological phenomena that are often strictly time-regulated (e.g. circadian rhythms). With the advances in technologies able to measure timing effects and dynamics of regulatory aspects, visualization and analysis tools try to keep up the pace with the new challenge. Beyond the classical timeline plots, notable attempts at more involved temporal interpretation have been made in the recent years, but awareness of the available resources is still limited within the scientific community. Here we review some of the advances in biological visualization of time-driven processes and look at how they allow analyzing data now and in the future.
Research center :
- Luxembourg Centre for Systems Biomedicine (LCSB): Bioinformatics Core (R. Schneider Group)
Disciplines :
Biochemistry, biophysics & molecular biology
Identifiers :
UNILU:UL-ARTICLE-2013-143
Author, co-author :
Secrier, Maria
Schneider, Reinhard ;  University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)
External co-authors :
yes
Language :
English
Title :
Visualizing time-related data in biology, a review
Publication date :
2013
Journal title :
Briefings in Bioinformatics
ISSN :
1477-4054
Publisher :
Briefings in Bioinformatics
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBilu :
since 19 May 2014

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