This repository includes all data and scripts needed to produce figures and statisctical information presented in the paper.
docker run --rm -i -t --privileged -p 8080:80 -v ~/export.microbiology/:/export quay.io/galaxy/docker-galaxy-microbiology-labVisit the MGL Docker development repository for more details.
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Install conda
$ make install-conda -
Create the conda environment
$ make create-env
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Launch Jupyter to access the notebooks to generate graphs
$ make run-jupyter -
Go to http://localhost:8888 (a page should open automatically in your browser)
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Launch the dedicated script
$ bash bin/get_data.sh
bash bin/build_figures.sh
This section provides easy access to the MGL paper's figures, extended data, and supplementary materials.
Figures (in docs/figures folder)
Graphical abstractFigure 1: Microbiology Galaxy Lab (MGL) interface (A) in comparison with default Galaxy interfaces on the UseGalaxy server (B, C).Figure 2: Citation trends in Galaxy publications and survey results from the microbiology research community (March–September 2023).Figure 3: Growth and usability of microbiology-related tool suites, training materials/tutorials, and workflows within the Galaxy ecosystem that are included in the Microbiology Galaxy Lab (MGL).Figure 4: Overview of microbiological data analysis tasks with corresponding tool suites and potential analyses available on the MGL.Figure 5: Applications of MGL tools and workflows in health, disease, and ecosystem research.
Supplementary information (in docs/supplementary folder)
Supplementary Figure 1: Microbial Research Topics in Galaxy Publications.Supplementary Figure 2: Availability of microbiology-related tool suites within the Galaxy ecosystem.Supplementary Figure 3: Usage of microbiology-related tool suites across workflows.Supplementary Figure 4: Usage of microbiology-related tool suites across training materials.Supplementary Figure 5: Flowchart illustrating the process to select and annotate the microbiology-related publications citing the Galaxy Project's major publication.Supplementary Table 1: Features and capabilities of 45 existing user-friendly microbiological data analysis platforms (non-exhaustive list).Supplementary Table 2: Anonymous results from the microbiology research community survey conducted between March and September 2023.Supplementary Table 3: Publications citing the Galaxy Project from Google Scholar.Supplementary Table 4: Publications citing the Galaxy Project from Google Scholar classified as microbiology-related citations.Supplementary Table 5: Overview of the 319 microbiology-related tool suites available in the Microbiology Galaxy Lab (MGL).Supplementary Table 6: Tool suites corresponding to numbers on Figure 4.Supplementary Table 7: Comprehensive list of the 117 microbiology-related workflows available in the Microbiology Galaxy Lab (MGL).Supplementary Table 8: Summary of use case submissions collected from survey participants and other highlighted use cases.Supplementary Table 9: Comprehensive list of tutorials from the Galaxy Training Network (GTN) dedicated to microbiological data analysis.Supplementary Table 10: Overview of microbiology-related training events conducted between 2019 and 2025.Supplementary Table 11: Manual binary document-level validation of microbiology-related citation classification.Supplementary Table 12: Manual multi-label keyword-level validation of automated microbiology citation classification.Supplementary Method 1: List of survey questions shared with the microbiology research community via a Google Form between March and September 2023.Supplementary Method 2: microGalaxy Community Roadmap (2026–2030), outlining the strategic priorities, goals, and planned developments for the Microbiology Galaxy Lab (MGL).Supplementary Method 3: Template to collect use cases from survey participants who expressed interest in contributing to the planned manuscript.Supplementary Method 4: Manual validation framework for automated citation classification.