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GXP: Analyze and Plot Plant Omics Data in Web Browsers

Preprints.org

Abstract

Next generation sequencing and metabolomics have become very cost and work efficient and are integrated into an ever growing number of life science research projects. Typically, well established software pipelines provide quantitative data informing about gene expression or concentrations of metabolites from the raw data. This data needs to be visualized and further analyzed in order to support scientific hypothesis building and identification of underlying biological patterns. Some tools exist, but require installation or manual programming. We developed “Gene Expression Plotter” (GXP), an RNA-Seq and Metabolomics data visualization and analysis tool entirely running in the user’s web browsers, thus not needing any custom installation, manual programming or upload of confidential data to third party servers. GXP enables the user to generate interactive plots, visually summarize genetic or metabolic responses in scientific sketches (Mapman), carry out cluster and principal component analysis, and conduct overrepresentation analyses. GXP can be used to publish research data along with interactive plots and results of analyses carried out with it. GXP is freely available on GitHub: https://github.com/usadellab/GeneExpressionPlots

Authors 11

  1. Affiliation as printed

    Affiliation 1 ; IBG-

    ; IBG-

    Affiliation

  2. Norwegian University of Science and Technology

    Affiliation as printed

    ; Norges Teknisk-Naturvitenskapelige Universitet , 7034 Trondheim , Norway

    Affiliation

    ; Norges Teknisk-Naturvitenskapelige Universitet, 7034 Trondheim, Norway

  3. Forschungszentrum Jülich

    Affiliation as printed

    Affiliation 2 ; IBG-4 Bioinformatics , Forschungszentrum Jülich , 52428 Jülich , Germany

    Plant Sciences , Forschungszentrum Jülich , 52428 Jülich , Germany

    ; IBG-4 Bioinformatics, Forschungszentrum Jülich, 52428 Jülich, Germany

    Affiliation

    Plant Sciences, Forschungszentrum Jülich, 52428 Jülich, Germany

  4. RWTH Aachen University

    Affiliation as printed

    ; RWTH Aachen University , Institute for Biology I , 52062 Aachen , Germany

    Affiliation

    ; RWTH Aachen University, Institute for Biology I, 52062 Aachen, Germany

  5. Affiliation as printed

    Affiliation 1 ; IBG-

    ; IBG-

    Affiliation

  6. Affiliation as printed

    Affiliation 1 ; IBG-

    ; IBG-

    Affiliation

  7. Forschungszentrum Jülich

    Affiliation as printed

    Affiliation 2 ; IBG-4 Bioinformatics , Forschungszentrum Jülich , 52428 Jülich , Germany

    Plant Sciences , Forschungszentrum Jülich , 52428 Jülich , Germany

    ; IBG-4 Bioinformatics, Forschungszentrum Jülich, 52428 Jülich, Germany

    Affiliation

    Plant Sciences, Forschungszentrum Jülich, 52428 Jülich, Germany

  8. Max Planck Institute of Molecular Plant Physiology

    Affiliation as printed

    ; Max Planck Institute for Molecular Plant Physiology , 14476 Potsdam , Germany

    Affiliation

    ; Max Planck Institute for Molecular Plant Physiology, 14476 Potsdam, Germany

  9. Affiliation as printed

    Affiliation 1 ; IBG-

    ; IBG-

    Affiliation

  10. Forschungszentrum Jülich

    Affiliation as printed

    Affiliation 2 ; IBG-4 Bioinformatics , Forschungszentrum Jülich , 52428 Jülich , Germany

    Plant Sciences , Forschungszentrum Jülich , 52428 Jülich , Germany

    ; IBG-4 Bioinformatics, Forschungszentrum Jülich, 52428 Jülich, Germany

    Affiliation

    Plant Sciences, Forschungszentrum Jülich, 52428 Jülich, Germany

  11. Asis Hallab corresponding

    Forschungszentrum Jülich

    Affiliation as printed

    Affiliation 2 ; IBG-4 Bioinformatics , Forschungszentrum Jülich , 52428 Jülich , Germany

    Plant Sciences , Forschungszentrum Jülich , 52428 Jülich , Germany

    ; IBG-4 Bioinformatics, Forschungszentrum Jülich, 52428 Jülich, Germany

    Affiliation

    Plant Sciences, Forschungszentrum Jülich, 52428 Jülich, Germany

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References 29