Evidence map›Paper›PMID 29690922›Full record

ArticleMicrobiome2018

Flexible metagenome analysis using the MGX framework.

Sebastian Jaenicke, Stefan P Albaum, Patrick Blumenkamp, Burkhard Linke, Jens Stoye, Alexander Goesmann

Abstract read
In one paragraph

Article in Microbiome, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
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  5. Isolation and Characterization of Barley (International journal of molecular sciences · 2021
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  7. Legume-microbiome interactions unlock mineral nutrients in regrowing tropical forests.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  8. Article
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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.

Sebastian JaenickeBioinformatics and Systems Biology, Justus-Liebig-University, Gießen, Germany. sebastian.jaenicke@computational.bio.uni-giessen.de.
Stefan P AlbaumBioinformatics Resource Facility, Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany.
Patrick BlumenkampBioinformatics and Systems Biology, Justus-Liebig-University, Gießen, Germany.
Burkhard LinkeBioinformatics and Systems Biology, Justus-Liebig-University, Gießen, Germany.
Jens StoyeGenome Informatics, Faculty of Technology and Center for Biotechnology (CeBiTec), Bielefeld University, Bielefeld, Germany.
Alexander GoesmannBioinformatics and Systems Biology, Justus-Liebig-University, Gießen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe characterization of microbial communities based on sequencing and analysis of their genetic information has become a popular approach also referred to as metagenomics; in particular, the recent advances in sequencing technologies have enabled researchers to study even the most complex communities. Metagenome analysis, the assignment of sequences to taxonomic and functional entities, however, remains a tedious task: large amounts of data need to be processed. There are a number of approaches addressing particular aspects, but scientific questions are often too specific to be answered by a general-purpose method.

resultsWe present MGX, a flexible and extensible client/server-framework for the management and analysis of metagenomic datasets; MGX features a comprehensive set of adaptable workflows required for taxonomic and functional metagenome analysis, combined with an intuitive and easy-to-use graphical user interface offering customizable result visualizations. At the same time, MGX allows to include own data sources and devise custom analysis pipelines, thus enabling researchers to perform basic as well as highly specific analyses within a single application.

conclusionsWith MGX, we provide a novel metagenome analysis platform giving researchers access to the most recent analysis tools. MGX covers taxonomic and functional metagenome analysis, statistical evaluation, and a wide range of visualizations easing data interpretation. Its default taxonomic classification pipeline provides equivalent or superior results in comparison to existing tools.

Indexed as

Database Management SystemsMetagenomeMetagenomicsMicrobiotaReproducibility of ResultsUser-Computer InterfaceWorkflowMetagenomicsMicrobial community analysisNext-generation sequencing

Identifiers

PMID29690922
PMCPMC5937802

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.