Evidence map›Paper›PMID 24861621›Full record

ArticleNucleic acids research2014

NetworkAnalyst--integrative approaches for protein-protein interaction network analysis and visual exploration.

Jianguo Xia, Maia J Benner, Robert E W Hancock

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 275 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
275citing papers in PubMed, 9 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

275 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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  8. A Meta-Analysis of Alzheimer's Disease Brain Transcriptomic Data.Journal of Alzheimer's disease : JAD · 2019
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  11. Cross-tissue immune profiling of APOE ε4 reveals early dysregulation in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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215 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jianguo XiaDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, Canada Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, Canada.
Maia J BennerDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, Canada Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, Canada.
Robert E W HancockDepartment of Microbiology and Immunology, University of British Columbia, Vancouver, Canada Centre for Microbial Diseases and Immunity Research, University of British Columbia, Vancouver, Canada Wellcome Trust Sanger Institute, Hinxton, United Kingdom bob@cmdr.ubc.ca.

Funding

Canadian Institutes of Health Research MOP-74493
6 · The paper itself

Abstract

Biological network analysis is a powerful approach to gain systems-level understanding of patterns of gene expression in different cell types, disease states and other biological/experimental conditions. Three consecutive steps are required--identification of genes or proteins of interest, network construction and network analysis and visualization. To date, researchers have to learn to use a combination of several tools to accomplish this task. In addition, interactive visualization of large networks has been primarily restricted to locally installed programs. To address these challenges, we have developed NetworkAnalyst, taking advantage of state-of-the-art web technologies, to enable high performance network analysis with rich user experience. NetworkAnalyst integrates all three steps and presents the results via a powerful online network visualization framework. Users can upload gene or protein lists, single or multiple gene expression datasets to perform comprehensive gene annotation and differential expression analysis. Significant genes are mapped to our manually curated protein-protein interaction database to construct relevant networks. The results are presented through standard web browsers for network analysis and interactive exploration. NetworkAnalyst supports common functions for network topology and module analyses. Users can easily search, zoom and highlight nodes or modules, as well as perform functional enrichment analysis on these selections. The networks can be customized with different layouts, colors or node sizes, and exported as PNG, PDF or GraphML files. Comprehensive FAQs, tutorials and context-based tips and instructions are provided. NetworkAnalyst currently supports protein-protein interaction network analysis for human and mouse and is freely available at http://www.networkanalyst.ca.

Indexed as

SoftwareAnimalsComputer GraphicsGene ExpressionHumansInternetMiceProtein Interaction MappingProtein Interaction MapsProteinsProteins

Identifiers

PMID24861621
PMCPMC4086107

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.