ReviewBriefings in bioinformatics2014
Visualizing time-related data in biology, a review.
Review in Briefings in bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed.
- Challenges and opportunities in network-based solutions for biological questions.Briefings in bioinformatics · 2022Article
- Personalized-Inherent Variability in a Time-Dependent Immune Response: A Look into the Fifth Dimension in Biology.Pharmacology · 2022Article
- Review
- Exploring the Microbiome Analysis and Visualization Landscape.Frontiers in bioinformatics · 2021Review
- Visualizing metabolic network dynamics through time-series metabolomic data.BMC bioinformatics · 2020Article
- Article
- 'TIME': A Web Application for Obtaining Insights into Microbial Ecology Using Longitudinal Microbiome Data.Frontiers in microbiology · 2018Article
- Article
- Statistical ensemble of gene regulatory networks of macrophage differentiation.BMC bioinformatics · 2016Article
- Genome-Wide Transcriptional Response of Saccharomyces cerevisiae to Stress-Induced Perturbations.Frontiers in bioengineering and biotechnology · 2016Review
- NetworkPainter: dynamic intracellular pathway animation in Cytobank.BMC bioinformatics · 2015Article
- Singular Value Decomposition of Optically-Mapped Cardiac Rotors and Fibrillatory Activity.Journal of physics D: Applied physics · 2015Article
- Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future.GigaScience · 2015Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.