What is Galaxy?
Galaxy is a well-known open-source platform for FAIR data analysis that enables users to:
- access and collect data from reference databases, external repositories and other data sources;
- use tools from various domains that can be plugged into workflows through its graphical web interface;
- run code in interactive environments (RStudio, Jupyter…) along with other tools or workflows;
- manage data by sharing and publishing results, workflows, and visualizations;
- capture the metadata of data analyses, thus ensuring their reproducibility.
Galaxy supports scientists to perform accessible, reproducible, and transparent computational analysis. The Galaxy Community is actively involved in helping the ecosystem improve and sharing scientific discoveries.
Who can use Galaxy?
Galaxy also provides open infrastructure ready to use for researchers worldwide. All what you need is a web browser and an account in a public server:
What can you use Galaxy for?
Galaxy can be used at different stages of the data life cycle, covering from the data collection to the reuse steps.
How to make data analysis FAIR. Data organisation
Best practices to name and organise research data. Data publication
How to prepare data and find repositories for publication. Data quality
How to ensure high quality of research data. Existing data
How to find and reuse existing data. Identifiers
How to use identifiers for research data. Machine actionability
How to make machine-actionable (meta)data. Documentation and metadata
How to document and describe your data.
Relevant tools and resourcesSkip tool table
|Tool or resource||Description||Related pages||Registry|
|European Nucleotide Archive (ENA)||A record of sequence information scaling from raw sequcning reads to assemblies and functional annotation||Plant Genomics Microbial biotechnology Data brokering Data publication Project data managemen...||Tool info Standards/Databases Training|
|International Nucleotide Sequence Database Collaboration||The International Nucleotide Sequence Database Collaboration (INSDC) is a long-standing foundational initiative that operates between DDBJ, EMBL-EBI and NCBI. INSDC covers the spectrum of data raw reads, through alignments and assemblies to functional annotation, enriched with contextual information relating to samples and experimental configurations.||Microbial biotechnology Plant sciences Data publication|
|International Nucleotide Sequence Database Collaboration (INSDC)||A collaborative database of genetic sequence datasets from DDBJ, EMBL-EBI and NCBI||Microbial biotechnology Plant sciences Data publication||Tool info|
|OMERO||OMERO is an open-source client-server platform for managing, visualizing and analyzing microscopy images and associated metadata||OMERO Bioimaging data||Tool info Standards/Databases Training|
|OmicsDI||Omics Discovery Index (OmicsDI) provides a knowledge discovery framework across heterogeneous omics data (genomics, proteomics, transcriptomics and metabolomics)||Existing data Machine actionability||Tool info Standards/Databases Training|
|PDB||The Protein Data Bank (PDB)||Intrinsically disorder... Structural Bioinformatics Data publication||Tool info Training|
|Research Object Crate (RO-Crate)||RO-Crate is a lightweight approach to packaging research data with their metadata, using schema.org. An RO-Crate is a structured archive of all the items that contributed to the research outcome, including their identifiers, provenance, relations and annotations.||Microbial biotechnology Data provenance||Standards/Databases|
|UniProt||Comprehensive resource for protein sequence and annotation data||Intrinsically disorder... Proteomics Structural Bioinformatics Machine actionability||Tool info Standards/Databases Training|
|WorkflowHub||WorkflowHub is a registry for describing, sharing and publishing scientific computational workflows.||Data analysis Data provenance||Tool info Standards/Databases Training|