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  • wshi
    Junior Member
    • Jun 2025
    • 2

    #1

    Announcing a New Journal – Bioinformatics Methods and Applications – Now Open for Submissions

    We are excited to announce the launch of a new peer-reviewed, open-access journal: Bioinformatics Methods and Applications. This journal is dedicated to advancing bioinformatics by disseminating innovative methodologies and promoting reproducible data analysis practices.

    The journal provides a platform for the bioinformatics community to share cutting-edge computational techniques, practical tools, and robust analytical workflows that improve the interpretation of complex biological data. The journal publishes original manuscripts presenting algorithms, computational pipelines, statistical models, or software tools that significantly enhance the analysis, interpretation, or visualization of biological data.

    The journal also accepts methodologically rigorous reports of bioinformatics analyses that complement published biological studies or describe analyses of unpublished datasets. For published studies, these reports provide a more detailed and comprehensive account of the bioinformatics data analysis than is typically included in the original publication. These articles must enable accurate reproduction of results by providing complete workflows, including software versions, parameter settings, and data availability. This focus on transparency and reusability promotes reliability and fosters best practices in bioinformatics research.

    We are now accepting manuscripts for our inaugural issue. In addition, we are inviting expressions of interest from researchers at all career stages to join our editorial board. If you are interested in contributing to the community and helping shape the journal’s direction, please contact the Editor-in-Chief. We also encourage you to share this announcement with colleagues and collaborators.

    For more information, please visit the journal website:

    BMA advances bioinformatics by integrating computational methods, algorithms and data analysis to support biological discovery and translational applications. Contributions are welcome.

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