Evidence map›Paper›PMID 33575609›Full record

ArticleNAR genomics and bioinformatics2020

gNOMO: a multi-omics pipeline for integrated host and microbiome analysis of non-model organisms.

Maria Muñoz-Benavent, Felix Hartkopf, Tim Van Den Bossche, Vitor C Piro, Carlos García-Ferris, Amparo Latorre, Bernhard Y Renard, Thilo Muth

Erratum issuedAbstract read
In one paragraph

Article in NAR genomics and bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Bioinformatic Workflows for Metaproteomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  8. Review
  9. Review
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Maria Muñoz-BenaventInstitute for Integrative Systems Biology (I2SysBio), Universitat de València/CSIC, Paterna (València) 46980, Spain.ORCID 0000-0002-4979-5479
Felix HartkopfBioinformatics Unit (MF 1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin 13353, Germany.ORCID 0000-0002-3902-8524
Tim Van Den BosscheVIB - UGent Center for Medical Biotechnology, VIB, Ghent 9000, Belgium.ORCID 0000-0002-5916-2587
Vitor C PiroBioinformatics Unit (MF 1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin 13353, Germany.ORCID 0000-0003-1330-1286
Carlos García-FerrisInstitute for Integrative Systems Biology (I2SysBio), Universitat de València/CSIC, Paterna (València) 46980, Spain.ORCID 0000-0003-4549-4078
Amparo LatorreInstitute for Integrative Systems Biology (I2SysBio), Universitat de València/CSIC, Paterna (València) 46980, Spain.ORCID 0000-0002-9146-7284
Bernhard Y RenardBioinformatics Unit (MF 1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin 13353, Germany.ORCID 0000-0003-4589-9809
Thilo MuthBioinformatics Unit (MF 1), Department for Methods Development and Research Infrastructure, Robert Koch Institute, Berlin 13353, Germany.ORCID 0000-0001-8304-2684

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of bacterial symbioses has grown exponentially in the recent past. However, existing bioinformatic workflows of microbiome data analysis do commonly not integrate multiple meta-omics levels and are mainly geared toward human microbiomes. Microbiota are better understood when analyzed in their biological context; that is together with their host or environment. Nevertheless, this is a limitation when studying non-model organisms mainly due to the lack of well-annotated sequence references. Here, we present gNOMO, a bioinformatic pipeline that is specifically designed to process and analyze non-model organism samples of up to three meta-omics levels: metagenomics, metatranscriptomics and metaproteomics in an integrative manner. The pipeline has been developed using the workflow management framework Snakemake in order to obtain an automated and reproducible pipeline. Using experimental datasets of the German cockroach

Identifiers

PMID33575609
PMCPMC7671378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.