Evidence map›Paper›PMID 25976062›Full record

ArticleCytometry. Part A : the journal of the International Society for Analytical Cytology2015

ISAC's Gating-ML 2.0 data exchange standard for gating description.

Josef Spidlen, Wayne Moore, ISAC Data Standards Task Force, Ryan R Brinkman

Abstract read
In one paragraph

Article in Cytometry. Part A : the journal of the International Society for Analytical Cytology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. CytoML for cross-platform cytometry data sharing.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
    Article
  8. The Computational article format: Software as a research output.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2018
    Article
  9. Review
  10. Article
  11. Review
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.

Josef SpidlenTerry Fox Laboratory, BC Cancer Agency, Vancouver, British Columbia, Canada.
Wayne MooreGenetics Department, Stanford University School of Medicine, Stanford, California.
ISAC Data Standards Task Force
Ryan R BrinkmanTerry Fox Laboratory, BC Cancer Agency, Vancouver, British Columbia, Canada.

Funding

The Statistical and Computational Analysis of Flow Cytometry DataR01EB008400 · NIBIB · FRED HUTCHINSON CANCER RESEARCH CENTER · PI GOTTARDO, RAPHAEL · 2008 to 2015
$2.9M
NIBIB NIH HHS R01 EB008400
6 · The paper itself

Abstract

The lack of software interoperability with respect to gating has traditionally been a bottleneck preventing the use of multiple analytical tools and reproducibility of flow cytometry data analysis by independent parties. To address this issue, ISAC developed Gating-ML, a computer file format to encode and interchange gates. Gating-ML 1.5 was adopted and published as an ISAC Candidate Recommendation in 2008. Feedback during the probationary period from implementors, including major commercial software companies, instrument vendors, and the wider community, has led to a streamlined Gating-ML 2.0. Gating-ML has been significantly simplified and therefore easier to support by software tools. To aid developers, free, open source reference implementations, compliance tests, and detailed examples are provided to stimulate further commercial adoption. ISAC has approved Gating-ML as a standard ready for deployment in the public domain and encourages its support within the community as it is at a mature stage of development having undergone extensive review and testing, under both theoretical and practical conditions.

Indexed as

Computational BiologyFlow CytometryReference StandardsReproducibility of ResultsSoftwarebioinformaticsdata standardfile formatflow cytometrygating

Identifiers

PMID25976062
PMCPMC4874733

What OpenQuestion holds

Textmetadata
LicenceTDM
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.