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Background: Centralized silos of genomic data are architecturally easier to initially design, develop and deploy than distributed models. However, as interoperability pains in EHR/EMR, HIE and other collaboration-centric life sciences domains have taught us, the core challenge of networking genomics systems

Background: Centralized silos of genomic data are architecturally easier to initially design, develop and deploy than distributed models. However, as interoperability pains in EHR/EMR, HIE and other collaboration-centric life sciences domains have taught us, the core challenge of networking genomics systems is not in the construction of individual silos, but the interoperability of those deployments in a manner embracing the heterogeneous needs, terms and infrastructure of collaborating parties. This article demonstrates the adaptation of BitTorrent to private collaboration networks in an authenticated, authorized and encrypted manner while retaining the same characteristics of standard BitTorrent.

Results: The BitTorious portal was sucessfully used to manage many concurrent domestic Bittorrent clients across the United States: exchanging genomics data payloads in excess of 500GiB using the uTorrent client software on Linux, OSX and Windows platforms. Individual nodes were sporadically interrupted to verify the resilience of the system to outages of a single client node as well as recovery of nodes resuming operation on intermittent Internet connections.

Conclusions: The authorization-based extension of Bittorrent and accompanying BitTorious reference tracker and user management web portal provide a free, standards-based, general purpose and extensible data distribution system for large ‘omics collaborations.

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    Title
    • BitTorious: Global Controlled Genomics Data Publication, Research, and Archiving Via BitTorrent Extensions
    Contributors
    Date Created
    2014-12-21
    Resource Type
  • Text
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    Identifier
    • Digital object identifier: 10.1186/s12859-014-0424-9
    • Identifier Type
      International standard serial number
      Identifier Value
      1471-2105
    Note
    • The electronic version of this article is the complete one and can be found online at: https://bmcbioinformatics.biomedcentral.com/articles/10.1186/s12859-014-0424-9

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    This is a suggested citation. Consult the appropriate style guide for specific citation guidelines.

    Lee, P. V., & Dinu, V. (2014). BitTorious: global controlled genomics data publication, research and archiving via BitTorrent extensions. BMC Bioinformatics, 15(1). doi:10.1186/s12859-014-0424-9

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