ArticleBioinformatics (Oxford, England)2017
GraphSpace: stimulating interdisciplinary collaborations in network biology.
Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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, 1 synthesis or guideline pooled it.
- Educational Leadership for Sustainable Capacity Building Towards Enhancing Interdisciplinary Collaboration in Computer-Aided Drug Design and Network Pharmacology: A Systematic Review.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular BiologyPooled it
- Cytoscape Web: bringing network biology to the browser.Nucleic acids research · 2025Article
- ARGem: a new metagenomics pipeline for antibiotic resistance genes: metadata, analysis, and visualization.Frontiers in genetics · 2023Article
- Graphery: interactive tutorials for biological network algorithms.Nucleic acids research · 2021Article
- NetConfer: a web application for comparative analysis of multiple biological networks.BMC biology · 2020Article
- Integrating protein localization with automated signaling pathway reconstruction.BMC bioinformatics · 2019Article
- Hypergraph-based connectivity measures for signaling pathway topologies.PLoS computational biology · 2019Article
- Network-based prediction of polygenic disease genes involved in cell motility.BMC bioinformatics · 2019Article
- BEL Commons: an environment for exploration and analysis of networks encoded in Biological Expression Language.Database : the journal of biological databases and curation · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
Abstract
summaryNetworks have become ubiquitous in systems biology. Visualization is a crucial component in their analysis. However, collaborations within research teams in network biology are hampered by software systems that are either specific to a computational algorithm, create visualizations that are not biologically meaningful, or have limited features for sharing networks and visualizations. We present GraphSpace, a web-based platform that fosters team science by allowing collaborating research groups to easily store, interact with, layout and share networks. AVAILABILITY AND IMPLEMENTATION: Anyone can upload and share networks at http://graphspace.org. In addition, the GraphSpace code is available at http://github.com/Murali-group/graphspace if a user wants to run his or her own server. CONTACT: murali@cs.vt.edu. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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.