ReviewNature methods2010
Visualization of omics data for systems biology.
Review in Nature methods, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 220 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
220 citing papers in PubMed.
- Electrode-omics reveals epochs in silicon anode evolution underpinning electrochemomechanical resilience.Science advances · 2026Article
- Lipid Nanoparticle Surface Engineering with Heparosan Polysaccharides for Safe and Effective mRNA DeliveryACS applied materials & interfaces · 2026Article
- Python-Based Interactive Notebooks for Teaching AI and Data Science to Undergraduate Students in the Life Sciences.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Rapid Exploratory Data Visualization for Cancer Genomics.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Synthetic Data Generation for Classifying Electrophysiological and Morpho-Electrophysiological Neurons from Mouse Visual Cortex.Neuroinformatics · 2025Article
- Sustainable software development in science - insights from 20 years of Vanted.Journal of integrative bioinformatics · 2025Article
- jdispatcher-viewers: interactive visualizations of sequence similarity search results and domain predictions.Bioinformatics advances · 2025Article
- Cell2Cell: Explorative Cell Interaction Analysis in Multi-Volumetric Tissue Data.IEEE transactions on visualization and computer graphics · 2025Article
- Reproductomics: Exploring the Applications and Advancements of Computational Tools.Physiological research · 2024Review
- Reliable biological and multi-omics research through biometrology.Analytical and bioanalytical chemistry · 2024Review
- Hepatokine ITIH3 protects against hepatic steatosis by downregulating mitochondrial bioenergetics andiScience · 2024Article
- Transomics2cytoscape: an automated software for interpretable 2.5-dimensional visualization of trans-omic networks.NPJ systems biology and applications · 2024Article
- HetFCM: functional co-module discovery by heterogeneous network co-clustering.Nucleic acids research · 2024Article
- Mycobiome analysis of leaf, root, and soil of symptomatic oil palm trees (Frontiers in microbiology · 2024Article
- iTraNet: a web-based platform for integrated trans-omics network visualization and analysis.Bioinformatics advances · 2024Article
- Microbiome modeling: a beginner's guide.Frontiers in microbiology · 2024Review
- Arena3DNAR genomics and bioinformatics · 2023Article
- Enhancing Enzyme Activity and Thermostability of Bacillus amyloliquefaciens Chitosanase BaCsn46A Through Saturation Mutagenesis at Ser196.Current microbiology · 2023Article
- Assessing 2D visual encoding of 3D spatial connectivity.Frontiers in bioinformatics · 2023Article
- Ten quick tips for biomarker discovery and validation analyses using machine learning.PLoS computational biology · 2022Article
160 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
High-throughput studies of biological systems are rapidly accumulating a wealth of 'omics'-scale data. Visualization is a key aspect of both the analysis and understanding of these data, and users now have many visualization methods and tools to choose from. The challenge is to create clear, meaningful and integrated visualizations that give biological insight, without being overwhelmed by the intrinsic complexity of the data. In this review, we discuss how visualization tools are being used to help interpret protein interaction, gene expression and metabolic profile data, and we highlight emerging new directions.
Indexed as
Identifiers
20195258What 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.