Evidence map›Paper›PMID 27799845›Full record

ArticleInternational journal for ion mobility spectrometry : official publication of the International Society for Ion Mobility Spectrometry2016

Supervised Semi-Automated Data Analysis Software for Gas Chromatography / Differential Mobility Spectrometry (GC/DMS) Metabolomics Applications.

Daniel J Peirano, Alberto Pasamontes, Cristina E Davis

Abstract read
In one paragraph

Article in International journal for ion mobility spectrometry : official publication of the International Society for Ion Mobility Spectrometry, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Peak detection and random forests classification software for gas chromatography/differential mobility spectrometry (GC/DMS) data.Chemometrics and intelligent laboratory systems : an international journal sponsored by the Chemometrics Society · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Modular and reconfigurable gas chromatography / differential mobility spectrometry (GC/DMS) package for detection of volatile organic compounds (VOCs).International journal for ion mobility spectrometry : official publication of the International Society for Ion Mobility Spectrometry · 2018
    Article
  13. Article
  14. 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

3 authors.

Daniel J PeiranoMechanical and Aerospace Engineering, University of California, Davis, One Shields Avenue, Davis CA, 95616.
Alberto PasamontesMechanical and Aerospace Engineering, University of California, Davis, One Shields Avenue, Davis CA, 95616.
Cristina E DavisMechanical and Aerospace Engineering, University of California, Davis, One Shields Avenue, Davis CA, 95616.

Funding

UC Davis Clinical and Translational Science CenterUL1TR000002 · NCATS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI BERGLUND, LARS F · 2012 to 2015
$12.2M
A wearable monitor for pediatric asthma: Developing environmental and breath sensors linked to spirometryU01EB022003 · NIBIB · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DAVIS, CRISTINA ELIZABETH, KENYON, NICHOLAS J. · 2015 to 2015
$1.5M
NCATS NIH HHS UL1 TR000002NIBIB NIH HHS U01 EB022003
6 · The paper itself

Abstract

Modern differential mobility spectrometers (DMS) produce complex and multi-dimensional data streams that allow for near-real-time or post-hoc chemical detection for a variety of applications. An active area of interest for this technology is metabolite monitoring for biological applications, and these data sets regularly have unique technical and data analysis end user requirements. While there are initial publications on how investigators have individually processed and analyzed their DMS metabolomic data, there are no user-ready commercial or open source software packages that are easily used for this purpose. We have created custom software uniquely suited to analyze gas chromatograph / differential mobility spectrometry (GC/DMS) data from biological sources. Here we explain the implementation of the software, describe the user features that are available, and provide an example of how this software functions using a previously-published data set. The software is compatible with many commercial or home-made DMS systems. Because the software is versatile, it can also potentially be used for other similarly structured data sets, such as GC/GC and other IMS modalities.

Indexed as

data analysisdifferential mobility spectrometry (DMS)field asymmetric ion mobility spectrometry (FAIMS)partial least squares regression (PLS)principal component analysis (PCA)software

Identifiers

PMID27799845
PMCPMC5084691

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.