Evidence map›Paper›PMID 34804056›Full record

ArticleFrontiers in immunology2021

FlowKit: A Python Toolkit for Integrated Manual and Automated Cytometry Analysis Workflows.

Scott White, John Quinn, Jennifer Enzor, Janet Staats, Sarah M Mosier, James Almarode, Thomas N Denny, Kent J Weinhold, Guido Ferrari, Cliburn Chan

Abstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  7. AUXIN RESPONSE FACTOR thermostability.Nature communications · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Surface delivery quantification reveals distinct trafficking efficiencies among clustered protocadherin isoforms.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
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  15. Review
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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

10 authors.

Scott WhiteDuke Center for AIDS Research, Duke University, Durham, NC, United States.
John QuinnBD Life Sciences - FlowJo, Ashland, OR, United States.
Jennifer EnzorDuke Immune Profiling Core, Duke University School of Medicine, Durham, NC, United States.
Janet StaatsDuke Immune Profiling Core, Duke University School of Medicine, Durham, NC, United States.
Sarah M MosierDuke Center for AIDS Research, Duke University, Durham, NC, United States.
James AlmarodeBD Life Sciences - FlowJo, Ashland, OR, United States.
Thomas N DennyDuke Center for AIDS Research, Duke University, Durham, NC, United States.
Kent J WeinholdDuke Center for AIDS Research, Duke University, Durham, NC, United States.
Guido FerrariDuke Center for AIDS Research, Duke University, Durham, NC, United States.
Cliburn ChanDuke Center for AIDS Research, Duke University, Durham, NC, United States.

Funding

Social and Behavioral Sciences CoreP30AI064518 · NIAID · DUKE UNIVERSITY · PI GEORGIA Doris TOMARAS · 2005 to 2026
$50.5M
NIAID NIH HHS HHSN272201700061CNIAID NIH HHS P30 AI064518
6 · The paper itself

Abstract

An important challenge for primary or secondary analysis of cytometry data is how to facilitate productive collaboration between domain and quantitative experts. Domain experts in cytometry laboratories and core facilities increasingly recognize the need for automated workflows in the face of increasing data complexity, but by and large, still conduct all analysis using traditional applications, predominantly FlowJo. To a large extent, this cuts domain experts off from the rapidly growing library of Single Cell Data Science algorithms available, curtailing the potential contributions of these experts to the validation and interpretation of results. To address this challenge, we developed FlowKit, a Gating-ML 2.0-compliant Python package that can read and write FCS files and FlowJo workspaces. We present examples of the use of FlowKit for constructing reporting and analysis workflows, including round-tripping results to and from FlowJo for joint analysis by both domain and quantitative experts.

Indexed as

SoftwareWorkflowAlgorithmsComputational BiologyFlow CytometryHumansMachine LearningSingle-Cell Analysisflow cytometryFlowJoGatingMLpython (programming language)single cell data sciencesoftwaresystems immunology

Identifiers

PMID34804056
PMCPMC8602902

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.