Evidence map›Paper›PMID 29868771›Full record

ArticleBioinformatics (Oxford, England)2018

ggCyto: next generation open-source visualization software for cytometry.

Phu Van, Wenxin Jiang, Raphael Gottardo, Greg Finak

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers.

0numbers the graph read from it
0cells of the map it votes in
53citing 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

53 citing papers in PubMed.

  1. Trial
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  5. Opsonization Improves Dual Proteomic Analysis ofJournal of proteome research · 2026
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  9. Deficiency in transmitter release triggers homeostatic transcriptional changes that increase presynaptic excitability.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  14. Doramectin Induces Apoptosis in B16 Melanoma Cells.Anti-cancer agents in medicinal chemistry · 2025
    Article
  15. Overcoming fixation and permeabilization challenges in flow cytometry by optical barcoding and multi-pass acquisition.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024
    Article
  16. 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

4 authors.

Phu VanVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Wenxin JiangVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Raphael GottardoVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
Greg FinakVaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.

Funding

Big Flow Cytometry Data: Data Standards, Integration and AnalysisR01GM118417 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI FINAK, GREG · 2017 to 2020
$1.2M
NIGMS NIH HHS R01 GM118417
6 · The paper itself

Abstract

Motivation: Open source software for computational cytometry has gained in popularity over the past few years. Efforts such as FlowCAP, the Lyoplate and Euroflow projects have highlighted the importance of efforts to standardize both experimental and computational aspects of cytometry data analysis. The R/BioConductor platform hosts the largest collection of open source cytometry software covering all aspects of data analysis and providing infrastructure to represent and analyze cytometry data with all relevant experimental, gating and cell population annotations enabling fully reproducible data analysis. Data visualization frameworks to support this infrastructure have lagged behind. Results: ggCyto is a new open-source BioConductor software package for cytometry data visualization built on ggplot2 that enables ggplot-like functionality with the core BioConductor flow cytometry data structures. Amongst its features are the ability to transform data and axes on-the-fly using cytometry-specific transformations, plot faceting by experimental meta-data variables and partial matching of channel, marker and cell populations names to the contents of the BioConductor cytometry data structures. We demonstrate the salient features of the package using publicly available cytometry data with complete reproducible examples in a Supplementary Material. Availability and implementation: https://bioconductor.org/packages/devel/bioc/html/ggcyto.html. Supplementary information: Supplementary data are available at Bioinformatics online.

Indexed as

Data VisualizationFlow CytometrySoftwareBiomarkersBiomarkers

Identifiers

PMID29868771
PMCPMC6223365

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.