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  4. BitTorious: Global Controlled Genomics Data Publication, Research, and Archiving Via BitTorrent Extensions
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BitTorious: Global Controlled Genomics Data Publication, Research, and Archiving Via BitTorrent Extensions

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Description

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.

Date Created
2014-12-21
Contributors
  • Lee, Preston (Author)
  • Dinu, Valentin (Author)
  • College of Health Solutions (Contributor)
Resource Type
Text
Extent
6 pages
Language
eng
Copyright Statement
In Copyright
Reuse Permissions
Attribution
Primary Member of
ASU Scholarship Showcase
Identifier
Digital object identifier: 10.1186/s12859-014-0424-9
Identifier Type
International standard serial number
Identifier Value
1471-2105
Peer-reviewed
No
Open Access
No
Series
BMC BIOINFORMATICS
Handle
https://hdl.handle.net/2286/R.I.43662
Preferred Citation

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

Level of coding
minimal
Cataloging Standards
asu1
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, opens in a new window
System Created
  • 2017-05-18 02:39:04
System Modified
  • 2021-10-25 06:43:33
  •     
  • 1 year 5 months ago
Additional Formats
  • OAI Dublin Core
  • MODS XML

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