Evidence map›Paper›PMID 34681649›Full record

ArticleInternational journal of molecular sciences2021

MPA_Pathway_Tool: User-Friendly, Automatic Assignment of Microbial Community Data on Metabolic Pathways.

Daniel Walke, Kay Schallert, Prasanna Ramesh, Dirk Benndorf, Emanuel Lange, Udo Reichl, Robert Heyer

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Microbial Omics.Progress in molecular and subcellular biology · 2026
    Review
  2. Microbiome modeling: a beginner's guide.Frontiers in microbiology · 2024
    Review
  3. Article
  4. 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

7 authors.

Daniel WalkeBioprocess Engineering, Otto von Guericke University, Universitätsplatz 2, 39106 Magdeburg, Germany.
Kay SchallertBioprocess Engineering, Otto von Guericke University, Universitätsplatz 2, 39106 Magdeburg, Germany.
Prasanna RameshDatabase and Software Engineering Group, Otto von Guericke University, Universitätsplatz 2, 39106 Magdeburg, Germany.
Dirk BenndorfBioprocess Engineering, Otto von Guericke University, Universitätsplatz 2, 39106 Magdeburg, Germany.ORCID 0000-0003-4021-8525
Emanuel LangeBioprocess Engineering, Otto von Guericke University, Universitätsplatz 2, 39106 Magdeburg, Germany.
Udo ReichlBioprocess Engineering, Otto von Guericke University, Universitätsplatz 2, 39106 Magdeburg, Germany.
Robert HeyerBioprocess Engineering, Otto von Guericke University, Universitätsplatz 2, 39106 Magdeburg, Germany.ORCID 0000-0001-7840-8899

Funding

German Federal Ministry of Education and Research 031L0103
6 · The paper itself

Abstract

Taxonomic and functional characterization of microbial communities from diverse environments such as the human gut or biogas plants by multi-omics methods plays an ever more important role. Researchers assign all identified genes, transcripts, or proteins to biological pathways to better understand the function of single species and microbial communities. However, due to the versality of microbial metabolism and a still-increasing number of newly biological pathways, linkage to standard pathway maps such as the KEGG central carbon metabolism is often problematic. We successfully implemented and validated a new user-friendly, stand-alone web application, the MPA_Pathway_Tool. It consists of two parts, called 'Pathway-Creator' and 'Pathway-Calculator'. The 'Pathway-Creator' enables an easy set-up of user-defined pathways with specific taxonomic constraints. The 'Pathway-Calculator' automatically maps microbial community data from multiple measurements on selected pathways and visualizes the results. The MPA_Pathway_Tool is implemented in Java and ReactJS.

Indexed as

User-Computer InterfaceAlgorithmsComputational BiologyHumansMetabolic Networks and Pathwaysbioinformaticsmetaproteomicsomicspathway generationpathway mappingweb application

Identifiers

PMID34681649
PMCPMC8539661

What OpenQuestion holds

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LicenceCC BY
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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.