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    Area of Science:

    • Bioinformatics
    • Computational Biology
    • Data Archiving

    Background:

    • Small bioinformatics databases face discontinuation risks, unlike large, funded ones.
    • Inaccessible databases lead to irreproducible research and wasted effort.
    • Ensuring long-term accessibility of scientific data is crucial for progress.

    Purpose of the Study:

    • To present a cost-effective solution for archiving small bioinformatics databases.
    • To enable rapid re-instantiation of archived databases on demand.
    • To address the challenge of database accessibility and reproducibility in scientific publications.

    Main Methods:

    • Developed a web-accessible system for database archival and re-instantiation.
    • Utilized a Linux live operating system (BioSlax) with pre-installed bioinformatics tools.
    • Compressed databases and dependencies into .lzm files for deposition.
    • Employed Xen Hypervisor or vSphere for virtual machine instantiation of archived databases.

    Main Results:

    • A system is available online (http://biodb100.apbionet.org) for database archival.
    • Databases can be re-instantiated within minutes using virtual machine technology.
    • The system supports scalability for storage and computational demands.
    • Archived databases can be used for integration and further development.

    Conclusions:

    • An inexpensive solution for archiving bioinformatics databases has been demonstrated.
    • Rapid re-instantiation ensures database availability even if original live databases disappear.
    • This approach enhances the reproducibility and continuity of scientific work relying on small databases.