Evidence map›Paper›PMID 35877685›Full record

ArticlePLoS computational biology2022

Graphia: A platform for the graph-based visualisation and analysis of high dimensional data.

Tom C Freeman, Sebastian Horsewell, Anirudh Patir, Josh Harling-Lee, Tim Regan, Barbara B Shih, James Prendergast, David A Hume, Tim Angus

Abstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing 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

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

  1. Pooled it
  2. Trial
  3. Innate [European journal of nuclear medicine and molecular imaging · 2025
    Trial
  4. Article
  5. Digital Biopsy and Network Analysis of Dynamic [Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. bioRxiv : the preprint server for biology · 2025
    Article
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  18. Article
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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

9 authors.

Tom C FreemanThe Roslin Institute, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-5235-8483
Sebastian HorsewellKajeka Limited, Roslin Innovation Centre, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-8420-4067
Anirudh PatirThe Roslin Institute, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-6980-0100
Josh Harling-LeeThe Roslin Institute, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-1568-8250
Tim ReganThe Roslin Institute, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-0979-7875
Barbara B ShihThe Roslin Institute, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0002-3676-3304
James PrendergastThe Roslin Institute, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0001-8916-018X
David A HumeMater Research Institute-University of Queensland, Translational Research Institute, Woolloongabba, Queensland, Australia.ORCID 0000-0002-2615-1478
Tim AngusKajeka Limited, Roslin Innovation Centre, Easter Bush Campus, The University of Edinburgh, Edinburgh, United Kingdom.ORCID 0000-0003-1736-9456

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/10002071
6 · The paper itself

Abstract

Graphia is an open-source platform created for the graph-based analysis of the huge amounts of quantitative and qualitative data currently being generated from the study of genomes, genes, proteins metabolites and cells. Core to Graphia's functionality is support for the calculation of correlation matrices from any tabular matrix of continuous or discrete values, whereupon the software is designed to rapidly visualise the often very large graphs that result in 2D or 3D space. Following graph construction, an extensive range of measurement algorithms, routines for graph transformation, and options for the visualisation of node and edge attributes are available, for graph exploration and analysis. Combined, these provide a powerful solution for the interpretation of high-dimensional data from many sources, or data already in the form of a network or equivalent adjacency matrix. Several use cases of Graphia are described, to showcase its wide range of applications in the analysis biological data. Graphia runs on all major desktop operating systems, is extensible through the deployment of plugins and is freely available to download from https://graphia.app/.

Indexed as

AlgorithmsSoftware

Identifiers

PMID35877685
PMCPMC9352203

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.