ArticlePloS one2014
BiNA: a visual analytics tool for biological network data.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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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.
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Who cites it
14 citing papers in PubMed.
- Overview of methods for characterization and visualization of a protein-protein interaction network in a multi-omics integration context.Frontiers in molecular biosciences · 2022Review
- IDARE2-Simultaneous Visualisation of Multiomics Data in Cytoscape.Metabolites · 2021Article
- HAHmiR.DB: a server platform for high-altitude human miRNA-gene coregulatory networks and associated regulatory circuits.Database : the journal of biological databases and curation · 2020Article
- Molecular networks in Network Medicine: Development and applications.Wiley interdisciplinary reviews. Systems biology and medicine · 2020Review
- MyomirDB: A unified database and server platform for muscle atrophy myomiRs, coregulatory networks and regulons.Scientific reports · 2020Article
- NetConfer: a web application for comparative analysis of multiple biological networks.BMC biology · 2020Article
- SILGGM: An extensive R package for efficient statistical inference in large-scale gene networks.PLoS computational biology · 2018Article
- iCAVE: an open source tool for visualizing biomolecular networks in 3D, stereoscopic 3D and immersive 3D.GigaScience · 2017Article
- Metabolomics and Integrative Omics for the Development of Thai Traditional Medicine.Frontiers in pharmacology · 2017Review
- Integration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases.Big data · 2016Article
- Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future.GigaScience · 2015Review
- Individualized medicine enabled by genomics in Saudi Arabia.BMC medical genomics · 2015Review
- MEVA--An Interactive Visualization Application for Validation of Multifaceted Meteorological Data with Multiple 3D Devices.PloS one · 2015Article
- Improving collaboration by standardization efforts in systems biology.Frontiers in bioengineering and biotechnology · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Interactive visual analysis of biological high-throughput data in the context of the underlying networks is an essential task in modern biomedicine with applications ranging from metabolic engineering to personalized medicine. The complexity and heterogeneity of data sets require flexible software architectures for data analysis. Concise and easily readable graphical representation of data and interactive navigation of large data sets are essential in this context. We present BiNA--the Biological Network Analyzer--a flexible open-source software for analyzing and visualizing biological networks. Highly configurable visualization styles for regulatory and metabolic network data offer sophisticated drawings and intuitive navigation and exploration techniques using hierarchical graph concepts. The generic projection and analysis framework provides powerful functionalities for visual analyses of high-throughput omics data in the context of networks, in particular for the differential analysis and the analysis of time series data. A direct interface to an underlying data warehouse provides fast access to a wide range of semantically integrated biological network databases. A plugin system allows simple customization and integration of new analysis algorithms or visual representations. BiNA is available under the 3-clause BSD license at http://bina.unipax.info/.
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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.