ArticleCurrent protocols in bioinformatics2014
Using VisANT to Analyze Networks.
Article in Current protocols in bioinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Identification of a potential homeodomain-like gene governing leaf size and venation architecture in birch.Frontiers in plant science · 2024Article
- PaintOmics 4: new tools for the integrative analysis of multi-omics datasets supported by multiple pathway databases.Nucleic acids research · 2022Article
- Characterization of Accessible Chromatin Regions in Cattle Rumen Epithelial Tissue during Weaning.Genes · 2022Article
- GWENA: gene co-expression networks analysis and extended modules characterization in a single Bioconductor package.BMC bioinformatics · 2021Article
- Whole-transcriptome analysis delineates the human placenta gene network and its associations with fetal growth.BMC genomics · 2017Article
- Intra- and interregional coregulation of opioid genes: broken symmetry in spinal circuits.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2017Article
- Global Membrane Protein Interactome Analysis using In vivo Crosslinking and Mass Spectrometry-based Protein Correlation Profiling.Molecular & cellular proteomics : MCP · 2016Article
- Visualization of Metabolic Interaction Networks in Microbial Communities Using VisANT 5.0.PLoS computational biology · 2016Article
- Frontotemporal dementia: insights into the biological underpinnings of disease through gene co-expression network analysis.Molecular neurodegeneration · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
Abstract
VisANT is a Web-based workbench for the integrative analysis of biological networks with unique features such as exploratory navigation of interaction network and multi-scale visualization and inference with integrated hierarchical knowledge. It provides functionalities for convenient construction, visualization, and analysis of molecular and higher order networks based on functional (e.g., expression profiles, phylogenetic profiles) and physical (e.g., yeast two-hybrid, chromatin-immunoprecipitation and drug target) relations from either the Predictome database or user-defined data sets. Analysis capabilities include network structure analysis, overrepresentation analysis, expression enrichment analysis etc. Additionally, network can be saved, accessed, and shared online. VisANT is able to develop and display meta-networks for meta-nodes that are structural complexes or pathways or any kind of subnetworks. Further, VisANT supports a growing number of standard exchange formats and database referencing standards, e.g., PSI-MI, KGML, BioPAX, SBML(in progress) Multiple species are supported to the extent that interactions or associations are available (i.e., public datasets or Predictome database).
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.