ArticleDatabase : the journal of biological databases and curation2025
MoPSeq-DB: a user-friendly web application for genomic data management and analysis of marine mollusc pathogens.
Article in Database : the journal of biological databases and curation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.