ReviewGigaScience2015
Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future.
Review in GigaScience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed.
- Analysis of stress response in multiple bacterial pathogens using a network biology approach.Scientific reports · 2025Article
- Visualizing metagenomic and metatranscriptomic data: A comprehensive review.Computational and structural biotechnology journal · 2024Review
- ImageGP 2 for enhanced data visualization and reproducible analysis in biomedical research.iMeta · 2024Article
- Assessing 2D visual encoding of 3D spatial connectivity.Frontiers in bioinformatics · 2023Article
- The relationship between hotel star rating and website information quality based on visual presentation.PloS one · 2023Article
- Ten simple rules for developing visualization tools in genomics.PLoS computational biology · 2022Article
- Gene Networks and Pathways Involved inMicroorganisms · 2022Article
- NORMA: The Network Makeup Artist - A Web Tool for Network Annotation Visualization.Genomics, proteomics & bioinformatics · 2022Article
- Data-dependent visualization of biological networks in the web-browser with NDExEdit.PLoS computational biology · 2022Article
- Fungal secondary metabolites in food and pharmaceuticals in the era of multi-omics.Applied microbiology and biotechnology · 2022Review
- Darling: A Web Application for Detecting Disease-Related Biomedical Entity Associations with Literature Mining.Biomolecules · 2022Article
- Future Challenges in Plant Systems Biology.Methods in molecular biology (Clifton, N.J.) · 2022Review
- Biomolecule and Bioentity Interaction Databases in Systems Biology: A Comprehensive Review.Biomolecules · 2021Review
- Cardioinformatics: the nexus of bioinformatics and precision cardiology.Briefings in bioinformatics · 2020Article
- LAITOR4HPC: A text mining pipeline based on HPC for building interaction networks.BMC bioinformatics · 2020Article
- bigPint: A Bioconductor visualization package that makes big data pint-sized.PLoS computational biology · 2020Article
- A Guide to Conquer the Biological Network Era Using Graph Theory.Frontiers in bioengineering and biotechnology · 2020Review
- Tasks, Techniques, and Tools for Genomic Data Visualization.Computer graphics forum : journal of the European Association for Computer Graphics · 2019Article
- Visual Analytics of Genomic and Cancer Data: A Systematic Review.Cancer informatics · 2019Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
"Α picture is worth a thousand words." This widely used adage sums up in a few words the notion that a successful visual representation of a concept should enable easy and rapid absorption of large amounts of information. Although, in general, the notion of capturing complex ideas using images is very appealing, would 1000 words be enough to describe the unknown in a research field such as the life sciences? Life sciences is one of the biggest generators of enormous datasets, mainly as a result of recent and rapid technological advances; their complexity can make these datasets incomprehensible without effective visualization methods. Here we discuss the past, present and future of genomic and systems biology visualization. We briefly comment on many visualization and analysis tools and the purposes that they serve. We focus on the latest libraries and programming languages that enable more effective, efficient and faster approaches for visualizing biological concepts, and also comment on the future human-computer interaction trends that would enable for enhancing visualization further.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.