Evidence map›Paper›PMID 34562172›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2021

IonFlow: a galaxy tool for the analysis of ionomics data sets.

J Iacovacci, W Lin, J L Griffin, R C Glen

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2021. 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. Review
  2. 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.

J Iacovacci *Department of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK. j.iacovacci@imperial.ac.uk.ORCID 0000-0002-1430-5062
W Lin *Department of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.
J L GriffinDepartment of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK.
R C GlenDepartment of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK. r.glen@imperial.ac.uk.

Funding

Medical Research Council MC_UP_A090_1006Medical Research Council MR/P011705/1Medical Research Council MR/P011705/2Wellcome TrustWellcome Trust 202952/D/16/Z
6 · The paper itself

Abstract

introductionInductively coupled plasma mass spectrometry (ICP-MS) experiments generate complex multi-dimensional data sets that require specialist data analysis tools.

objectiveHere we describe tools to facilitate analysis of the ionome composed of high-throughput elemental profiling data.

methodsIonFlow is a Galaxy tool written in R for ionomics data analysis and is freely accessible at https://github.com/wanchanglin/ionflow . It is designed as a pipeline that can process raw data to enable exploration and interpretation using multivariate statistical techniques and network-based algorithms, including principal components analysis, hierarchical clustering, relevance network extraction and analysis, and gene set enrichment analysis. RESULTS AND

conclusionThe pipeline is described and tested on two benchmark data sets of the haploid S. Cerevisiae ionome and of the human HeLa cell ionome.

Indexed as

Saccharomyces cerevisiaeCluster AnalysisHeLa CellsHumansPrincipal Component AnalysisGalaxy platformIonomicsNetwork biology

Identifiers

PMID34562172
PMCPMC8464566

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.