Evidence map›Paper›PMID 25958393›Full record

ArticleNucleic acids research2015

NaviCell Web Service for network-based data visualization.

Eric Bonnet, Eric Viara, Inna Kuperstein, Laurence Calzone, David P A Cohen, Emmanuel Barillot, Andrei Zinovyev

Abstract read
In one paragraph

Article in Nucleic acids research, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–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

18 citing papers in PubMed.

  1. Article
  2. Article
  3. Systems Biology Analysis for Ewing Sarcoma.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Signalling maps in cancer research: construction and data analysis.Database : the journal of biological databases and curation · 2018
    Article
  10. Article
  11. Article
  12. Drug-Driven Synthetic Lethality: Bypassing Tumor Cell Genetics with a Combination of AsiDNA and PARP Inhibitors.Clinical cancer research : an official journal of the American Association for Cancer Research · 2017
    Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
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

7 authors.

Eric BonnetInstitut Curie, 26 rue d'Ulm, 75248 Paris, France INSERM, U900, 75248 Paris, France Mines ParisTech, 77300 Fontainebleau, France.
Eric ViaraSysra, 91330 Yerres, France.
Inna KupersteinInstitut Curie, 26 rue d'Ulm, 75248 Paris, France INSERM, U900, 75248 Paris, France Mines ParisTech, 77300 Fontainebleau, France.
Laurence CalzoneInstitut Curie, 26 rue d'Ulm, 75248 Paris, France INSERM, U900, 75248 Paris, France Mines ParisTech, 77300 Fontainebleau, France.
David P A CohenInstitut Curie, 26 rue d'Ulm, 75248 Paris, France INSERM, U900, 75248 Paris, France Mines ParisTech, 77300 Fontainebleau, France.
Emmanuel BarillotInstitut Curie, 26 rue d'Ulm, 75248 Paris, France INSERM, U900, 75248 Paris, France Mines ParisTech, 77300 Fontainebleau, France.
Andrei ZinovyevInstitut Curie, 26 rue d'Ulm, 75248 Paris, France INSERM, U900, 75248 Paris, France Mines ParisTech, 77300 Fontainebleau, France andrei.zinovyev@curie.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data visualization is an essential element of biological research, required for obtaining insights and formulating new hypotheses on mechanisms of health and disease. NaviCell Web Service is a tool for network-based visualization of 'omics' data which implements several data visual representation methods and utilities for combining them together. NaviCell Web Service uses Google Maps and semantic zooming to browse large biological network maps, represented in various formats, together with different types of the molecular data mapped on top of them. For achieving this, the tool provides standard heatmaps, barplots and glyphs as well as the novel map staining technique for grasping large-scale trends in numerical values (such as whole transcriptome) projected onto a pathway map. The web service provides a server mode, which allows automating visualization tasks and retrieving data from maps via RESTful (standard HTTP) calls. Bindings to different programming languages are provided (Python and R). We illustrate the purpose of the tool with several case studies using pathway maps created by different research groups, in which data visualization provides new insights into molecular mechanisms involved in systemic diseases such as cancer and neurodegenerative diseases.

Indexed as

Computer GraphicsSoftwareAlgorithmsAlzheimer DiseaseBrainCell Line, TumorGene Expression ProfilingHumansInternetMaleMutationProstatic Neoplasms

Identifiers

PMID25958393
PMCPMC4489283

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.