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Biodiversity Information Science and Standards
Article . 2025 . Peer-reviewed
License: CC BY
Data sources: Crossref
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ZENODO
Article . 2025
License: CC BY
Data sources: ZENODO
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The Swedish Reference Genome Portal: A Hub for Non-Human Eukaryotic Genomic Data Visualisation, Discovery, and Reuse

Authors: Henrik Lantz; Daniel Brink; Rory Crean; Quentin Ågren; Hanna Kultima; Bengt Persson; Johan Rung; +1 Authors

The Swedish Reference Genome Portal: A Hub for Non-Human Eukaryotic Genomic Data Visualisation, Discovery, and Reuse

Abstract

Non-human eukaryotic genome assemblies and annotations are frequently dispersed across repositories, supplementary materials, or remain unpublished. Their access often requires technical expertise and large downloads, hindering usability. The Swedish Reference Genome Portal*1 (SRGP) offers a web platform to easily find, explore, and share genomic data from non-human eukaryotic species studied in Sweden. The SRGP gathers assemblies and annotations into species-specific pages with an interactive JBrowse2 genome browser, metadata, and download links (Fig. 1). This web interface provides user-friendly visualisations aimed at broad user communities, particularly in biodiversity and evolution. Unlike global resources such as Ensembl or the UCSC Genome Browser, which focus on model organisms, the SRGP showcases species studied in Swedish institutions. It fosters community-driven data sharing and broadens access to genomic annotations that are rarely published (e.g., from population genomics), while adhering to Findable, Accessible, Interoperable and Reusable (FAIR) principles. In doing so, it bridges global infrastructures with local research needs, enabling both specialists and non-specialists to make better use of genomic data. The technical architecture of the SRGP (Fig. 2) is designed to make the service easy to use and reuse by others: Simple and secure : Built with Hugo, a static site generator that requires no databases or heavy servers, enabling lightweight maintenance. Lightweight and fast : Composed of prebuilt pages and files for quick loading and easy scalability. Open and reusable : Fully open-source, allowing others to adapt and extend the code. Easy to update : New species or datasets can be added by editing configuration files and rebuilding the site. Portable : Packaged with Docker for easy deployment anywhere, including Kubernetes clusters. User-friendly : Integrates JBrowse2 for interactive exploration of genomic data. Simple and secure : Built with Hugo, a static site generator that requires no databases or heavy servers, enabling lightweight maintenance. Lightweight and fast : Composed of prebuilt pages and files for quick loading and easy scalability. Open and reusable : Fully open-source, allowing others to adapt and extend the code. Easy to update : New species or datasets can be added by editing configuration files and rebuilding the site. Portable : Packaged with Docker for easy deployment anywhere, including Kubernetes clusters. User-friendly : Integrates JBrowse2 for interactive exploration of genomic data. The SRGP is designed for simple deployment and maintenance. Genome data and annotations are processed with automated scripts in Docker containers to ensure consistency and reproducibility. The website is built with Hugo, which generates fast, lightweight pages requiring no database. Both data and pages are bundled into Docker images and deployed on a Kubernetes cluster, with ArgoCD handling updates automatically. This setup provides reliable operation on standard infrastructure, easy scaling for new datasets, and secure, low-maintenance access to genomic resources (Fig. 2). In summary, the SRGP makes previously hidden genomic data, especially from local or specialised communities, easy to find and explore through a single, user-friendly browser. It lowers access barriers while remaining simple, fast, and scalable. By unifying scattered resources, it provides a reusable model for other countries, institutions, or research groups. This presentation is available in (presentación disponible en español en) Fuentes‐Pardo et al. (2025).

Keywords

assembly, genome browser, open source, data visualisation, open science, genomic annotation, JBrowse2

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
gold
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