ArticleBioinformatics (Oxford, England)2011
Creating views on integrated multidomain data.
Article in Bioinformatics (Oxford, England), 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Sustainable software development in science - insights from 20 years of Vanted.Journal of integrative bioinformatics · 2025Article
- Transomics2cytoscape: an automated software for interpretable 2.5-dimensional visualization of trans-omic networks.NPJ systems biology and applications · 2024Article
- Metabolomics, Standards, and Metabolic Modeling for Synthetic Biology in Plants.Frontiers in bioengineering and biotechnology · 2015Review
- Informatic system for a global tissue-fluid biorepository with a graph theory-oriented graphical user interface.Journal of extracellular vesicles · 2014Article
- VANTED v2: a framework for systems biology applications.BMC systems biology · 2012Article
- StratomeX: Visual Analysis of Large-Scale Heterogeneous Genomics Data for Cancer Subtype Characterization.Computer graphics forum : journal of the European Association for Computer Graphics · 2012Article
- Visual analysis of transcriptome data in the context of anatomical structures and biological networks.Frontiers in plant science · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
motivationModern data acquisition methods in biology allow the procurement of different types of data in increasing quantity, facilitating a comprehensive view of biological systems. As data are usually gathered and interpreted by separate domain scientists, it is hard to grasp multidomain properties and structures. Consequently, there is a need for the integration of biological data from different sources and of different types in one application, providing various visualization approaches.
resultsIn this article, methods for the integration and visualization of multimodal biological data are presented. This is achieved based on two graphs representing the meta-relations between biological data and the measurement combinations, respectively. Both graphs are linked and serve as different views of the integrated data with navigation and exploration possibilities. Data can be combined and visualized multifariously, resulting in views of the integrated biological data. AVAILABILITY: http://vanted.ipk-gatersleben.de/hive/. CONTACT: rohn@ipk-gatersleben.de.
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.