Evidence map›Paper›PMID 27998935›Full record

ArticleBioinformatics (Oxford, England)2017

CymeR: cytometry analysis using KNIME, docker and R.

B Muchmore, M E Alarcón-Riquelme

Abstract read
In one paragraph

Article in Bioinformatics (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Container-based bioinformatics with Pachyderm.Bioinformatics (Oxford, England) · 2019
    Article
  2. Article
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

2 authors.

B MuchmoreCentre for Genomics and Oncological Research (GENYO), Area of Genomic Medicine, Genetics of Complex Diseases, Pfizer-University of Granada-Andalusian Regional Government, Health Sciences Technology Park, Granada 18016, Spain.
M E Alarcón-RiquelmeCentre for Genomics and Oncological Research (GENYO), Area of Genomic Medicine, Genetics of Complex Diseases, Pfizer-University of Granada-Andalusian Regional Government, Health Sciences Technology Park, Granada 18016, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Summary: Here we present open-source software for the analysis of high-dimensional cytometry data using state of the art algorithms. Importantly, use of the software requires no programming ability, and output files can either be interrogated directly in CymeR or they can be used downstream with any other cytometric data analysis platform. Also, because we use Docker to integrate the multitude of components that form the basis of CymeR, we have additionally developed a proof-of-concept of how future open-source bioinformatic programs with graphical user interfaces could be developed. Availability and Implementation: CymeR is open-source software that ties several components into a single program that is perhaps best thought of as a self-contained data analysis operating system. Please see https://github.com/bmuchmore/CymeR/wiki for detailed installation instructions. Contact: brian.muchmore@genyo.es or marta.alarcon@genyo.es.

Indexed as

SoftwareAlgorithmsComputational BiologyFlow Cytometry

Identifiers

PMID27998935
PMCPMC5870801

What OpenQuestion holds

Textmetadata
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.