Evidence map›Paper›PMID 32176690›Full record

ArticlePLoS computational biology2020

ftmsRanalysis: An R package for exploratory data analysis and interactive visualization of FT-MS data.

Lisa M Bramer, Amanda M White, Kelly G Stratton, Allison M Thompson, Daniel Claborne, Kirsten Hofmockel, Lee Ann McCue

Abstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

  1. Article
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  3. mLife · 2025
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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

7 authors.

Lisa M BramerComputational Analytics Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America.ORCID 0000-0002-8384-1926
Amanda M WhiteComputational Analytics Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Kelly G StrattonComputational Analytics Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America.ORCID 0000-0002-1721-9688
Allison M ThompsonEnvironmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America.ORCID 0000-0002-9791-4444
Daniel ClaborneComputational Analytics Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America.ORCID 0000-0001-5293-3628
Kirsten HofmockelEnvironmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America.
Lee Ann McCueEnvironmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington, United States of America.ORCID 0000-0003-4456-517X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The high-resolution and mass accuracy of Fourier transform mass spectrometry (FT-MS) has made it an increasingly popular technique for discerning the composition of soil, plant and aquatic samples containing complex mixtures of proteins, carbohydrates, lipids, lignins, hydrocarbons, phytochemicals and other compounds. Thus, there is a growing demand for informatics tools to analyze FT-MS data that will aid investigators seeking to understand the availability of carbon compounds to biotic and abiotic oxidation and to compare fundamental chemical properties of complex samples across groups. We present ftmsRanalysis, an R package which provides an extensive collection of data formatting and processing, filtering, visualization, and sample and group comparison functionalities. The package provides a suite of plotting methods and enables expedient, flexible and interactive visualization of complex datasets through functions which link to a powerful and interactive visualization user interface, Trelliscope. Example analysis using FT-MS data from a soil microbiology study demonstrates the core functionality of the package and highlights the capabilities for producing interactive visualizations.

Indexed as

Fourier AnalysisMass SpectrometrySoftwareComputational BiologyDatabases, FactualSoil Microbiology

Identifiers

PMID32176690
PMCPMC7098629

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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.