# MoPSeq-DB: a user-friendly web application for genomic data management and analysis of marine mollusc pathogens

**Authors:** Clémentine Battistel, Jean-Christophe Mouren, Benjamin Morga, Camille Pelletier, Lydie Canier, Céline Garcia, Isabelle Arzul, Yaelle Pihan, Laura Leroi, Germain Chevignon, Patrick Guido Durand, Maude Jacquot

PMC · DOI: 10.1093/database/baaf080 · 2025-11-26

## TL;DR

MoPSeq-DB is a user-friendly web tool for managing and analyzing genomic data of marine mollusc pathogens, making bioinformatics more accessible.

## Contribution

The novel contribution is an open-source, accessible web application specifically designed for mollusc pathogen genomic data management.

## Key findings

- MoPSeq-DB automates bioinformatics workflows and provides interactive data visualization for non-experts.
- The platform supports systematic storage and flexible management of genomic data and metadata.
- It is adaptable for use beyond mollusc pathogens, offering a versatile tool for pathogen research.

## Abstract

Sequencing technologies continue to evolve, providing novel opportunities for disease surveillance and control. These advancements are crucial for diagnosing diseases and identifying genetically distinct variants with diverse host reservoir species and geographical distributions. Recent progress in sequencing-based analyses of marine mollusc diseases has been significant, yet challenges remain in data management due to a lack of dedicated tools and databases. To address this, we present MoPSeq-DB (Mollusc Pathogen Sequences DataBase), an open-source web application for managing curated genomic data on mollusc pathogens. Designed for accessibility to non-bioinformaticians, MoPSeq-DB features interactive data visualization and integrated analysis tools. Built with the Python Django framework, it automates common bioinformatics workflows, enabling rapid exploration of sequencing data. The application has minimal hardware requirements, and is easy to install, host, and update. MoPSeq-DB facilitates systematic storage and flexible management of genomic data and metadata, improving data organization for mollusc pathogen research. Although developed with a focus on mollusc pathogens, the platform’s adaptable design makes it a valuable resource for studying a wide range of pathogens.

Database URL: https://mopseq-db.ifremer.fr

## Full-text entities

- **Diseases:** infections (MESH:D007239), VCF (MESH:D058426), Mollusc Diseases (MESH:D004194)
- **Species:** Bacteria Latreille et al. 1825 (Bacteria stick insect, genus) [taxon 629395], Ostreid herpesvirus 1 (no rank) [taxon 261939], Lyssavirus rabies (species) [taxon 11292], Magallana gigas [taxon 2171618], Magallana gigas (Pacific oyster, species) [taxon 29159], Marteilia refringens (species) [taxon 107386], Vibrio aestuarianus (species) [taxon 28171], Pseudomonas (RNA similarity group I, genus) [taxon 286], Perkinsus olseni (species) [taxon 32597], Homo sapiens (human, species) [taxon 9606], Ostreidae (oysters, family) [taxon 6563]

## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12648391/full.md

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Source: https://tomesphere.com/paper/PMC12648391