Evidence map›Paper›PMID 22438836›Full record

ArticleCurrent bioinformatics2012

Bioinformatics Tools for Mass Spectroscopy-Based Metabolomic Data Processing and Analysis.

Masahiro Sugimoto, Masato Kawakami, Martin Robert, Tomoyoshi Soga, Masaru Tomita

Abstract read
In one paragraph

Article in Current bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers.

0numbers the graph read from it
0cells of the map it votes in
100citing 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

100 citing papers in PubMed.

  1. Trial
  2. DietaryAnimals : an open access journal from MDPI · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Article
  13. Salivary metabolites as novel independent predictors of radiation pneumonitis.Journal of cancer research and clinical oncology · 2023
    Article
  14. Investigation of the Mechanism of Action ofMolecules (Basel, Switzerland) · 2023
    Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. Article
  20. Article

40 more citing papers are in PubMed but not listed here.

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

5 authors.

Masahiro SugimotoInstitute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata 997-0017, Japan.
Masato Kawakami
Martin Robert
Tomoyoshi Soga
Masaru Tomita

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological systems are increasingly being studied in a holistic manner, using omics approaches, to provide quantitative and qualitative descriptions of the diverse collection of cellular components. Among the omics approaches, metabolomics, which deals with the quantitative global profiling of small molecules or metabolites, is being used extensively to explore the dynamic response of living systems, such as organelles, cells, tissues, organs and whole organisms, under diverse physiological and pathological conditions. This technology is now used routinely in a number of applications, including basic and clinical research, agriculture, microbiology, food science, nutrition, pharmaceutical research, environmental science and the development of biofuels. Of the multiple analytical platforms available to perform such analyses, nuclear magnetic resonance and mass spectrometry have come to dominate, owing to the high resolution and large datasets that can be generated with these techniques. The large multidimensional datasets that result from such studies must be processed and analyzed to render this data meaningful. Thus, bioinformatics tools are essential for the efficient processing of huge datasets, the characterization of the detected signals, and to align multiple datasets and their features. This paper provides a state-of-the-art overview of the data processing tools available, and reviews a collection of recent reports on the topic. Data conversion, pre-processing, alignment, normalization and statistical analysis are introduced, with their advantages and disadvantages, and comparisons are made to guide the reader.

Identifiers

PMID22438836
PMCPMC3299976

What OpenQuestion holds

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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.