Evidence map›Paper›PMID 22550397›Full record

ArticleJournal of biomedicine & biotechnology2012

MarVis-Filter: ranking, filtering, adduct and isotope correction of mass spectrometry data.

Alexander Kaever, Manuel Landesfeind, Mareike Possienke, Kirstin Feussner, Ivo Feussner, Peter Meinicke

Abstract read
In one paragraph

Article in Journal of biomedicine & biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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  6. Frontiers in microbiology · 2020
    Article
  7. Metabolite profiling of non-sterile rhizosphere soil.The Plant journal : for cell and molecular biology · 2017
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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

6 authors.

Alexander KaeverDepartment of Bioinformatics, Institute of Microbiology and Genetics, Georg-August-University Göttingen, 37077 Göttingen, Germany. alex@gobics.de
Manuel Landesfeind
Mareike Possienke
Kirstin Feussner
Ivo Feussner
Peter Meinicke

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Statistical ranking, filtering, adduct detection, isotope correction, and molecular formula calculation are essential tasks in processing mass spectrometry data in metabolomics studies. In order to obtain high-quality data sets, a framework which incorporates all these methods is required. We present the MarVis-Filter software, which provides well-established and specialized methods for processing mass spectrometry data. For the task of ranking and filtering multivariate intensity profiles, MarVis-Filter provides the ANOVA and Kruskal-Wallis tests with adjustment for multiple hypothesis testing. Adduct and isotope correction are based on a novel algorithm which takes the similarity of intensity profiles into account and allows user-defined ionization rules. The molecular formula calculation utilizes the results of the adduct and isotope correction. For a comprehensive analysis, MarVis-Filter provides an interactive interface to combine data sets deriving from positive and negative ionization mode. The software is exemplarily applied in a metabolic case study, where octadecanoids could be identified as markers for wounding in plants.

Indexed as

AlgorithmsSoftwareArabidopsisCarbon IsotopesComputational BiologyCyclopentanesDatabases, FactualMass SpectrometryMetabolomeMetabolomicsModels, BiologicalOxylipinsCarbon IsotopesCyclopentanesjasmonic acidOxylipins

Identifiers

PMID22550397
PMCPMC3328170

What OpenQuestion holds

Textmetadata
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.