Evidence map›Paper›PMID 29800320›Full record

ArticleNucleic acids research2018

PaintOmics 3: a web resource for the pathway analysis and visualization of multi-omics data.

Rafael Hernández-de-Diego, Sonia Tarazona, Carlos Martínez-Mira, Leandro Balzano-Nogueira, Pedro Furió-Tarí, Georgios J Pappas, Ana Conesa

Abstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 1 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

93 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Integrative Analysis of Multimodal Omics Data.Annual review of statistics and its application · 2026
    Article
  3. Article
  4. Metabolomics: Fundamentals, Methods, Analysis, Limits, and Recommendations.Advances in experimental medicine and biology · 2026
    Review
  5. Review
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Review
  12. Article
  13. Visual analysis of multi-omics data.Frontiers in bioinformatics · 2024
    Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. A guide to multi-omics data collection and integration for translational medicine.Computational and structural biotechnology journal · 2023
    Review

33 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

7 authors.

Rafael Hernández-de-DiegoGenomics of Gene Expression Lab, Centro de Investigación Príncipe Felipe, Valencia, Spain.
Sonia TarazonaGenomics of Gene Expression Lab, Centro de Investigación Príncipe Felipe, Valencia, Spain.
Carlos Martínez-MiraGenomics of Gene Expression Lab, Centro de Investigación Príncipe Felipe, Valencia, Spain.
Leandro Balzano-NogueiraMicrobiology and Cell Science Department, Institute for Food and Agricultural Sciences, University of Florida, Gainesville, FL, USA.
Pedro Furió-TaríGenomics of Gene Expression Lab, Centro de Investigación Príncipe Felipe, Valencia, Spain.
Georgios J PappasDepartment of Cellular Biology, University of Brasilia, Biological Sciences Institute, Brasília, Brazil.
Ana ConesaGenomics of Gene Expression Lab, Centro de Investigación Príncipe Felipe, Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing availability of multi-omic platforms poses new challenges to data analysis. Joint visualization of multi-omics data is instrumental in better understanding interconnections across molecular layers and in fully utilizing the multi-omic resources available to make biological discoveries. We present here PaintOmics 3, a web-based resource for the integrated visualization of multiple omic data types onto KEGG pathway diagrams. PaintOmics 3 combines server-end capabilities for data analysis with the potential of modern web resources for data visualization, providing researchers with a powerful framework for interactive exploration of their multi-omics information. Unlike other visualization tools, PaintOmics 3 covers a comprehensive pathway analysis workflow, including automatic feature name/identifier conversion, multi-layered feature matching, pathway enrichment, network analysis, interactive heatmaps, trend charts, and more. It accepts a wide variety of omic types, including transcriptomics, proteomics and metabolomics, as well as region-based approaches such as ATAC-seq or ChIP-seq data. The tool is freely available at www.paintomics.org.

Indexed as

Gene Expression RegulationSoftwareTranscriptomeCell Line, TransformedCellular ReprogrammingComputer GraphicsFibroblastsGenomicsHumansInternetMetabolic Networks and PathwaysMetabolomicsMolecular Sequence AnnotationProteomicsSignal Transduction

Identifiers

PMID29800320
PMCPMC6030972

What OpenQuestion holds

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LicenceCC BY-NC
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.