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High-performance integrated virtual environment (HIVE): a robust infrastructure for next-generation sequence data analysis. | LitMetric

AI Article Synopsis

  • - The High-performance Integrated Virtual Environment (HIVE) is a cloud-based platform specifically designed to efficiently manage next-generation sequencing (NGS) data, allowing users to securely access, store, and analyze this data through a user-friendly interface.
  • - HIVE differs from traditional computing environments by using a cloud control server that facilitates the execution of computations directly near the data, rather than transferring large datasets to computing nodes, which enhances performance and reduces strain on hardware.
  • - The system incorporates a honeycomb data model that integrates metadata seamlessly with a unified API for data management, simplifying the addition of new data types and ensuring secure, flexible access control for users, making NGS analysis both efficient and secure.

Article Abstract

The High-performance Integrated Virtual Environment (HIVE) is a distributed storage and compute environment designed primarily to handle next-generation sequencing (NGS) data. This multicomponent cloud infrastructure provides secure web access for authorized users to deposit, retrieve, annotate and compute on NGS data, and to analyse the outcomes using web interface visual environments appropriately built in collaboration with research and regulatory scientists and other end users. Unlike many massively parallel computing environments, HIVE uses a cloud control server which virtualizes services, not processes. It is both very robust and flexible due to the abstraction layer introduced between computational requests and operating system processes. The novel paradigm of moving computations to the data, instead of moving data to computational nodes, has proven to be significantly less taxing for both hardware and network infrastructure.The honeycomb data model developed for HIVE integrates metadata into an object-oriented model. Its distinction from other object-oriented databases is in the additional implementation of a unified application program interface to search, view and manipulate data of all types. This model simplifies the introduction of new data types, thereby minimizing the need for database restructuring and streamlining the development of new integrated information systems. The honeycomb model employs a highly secure hierarchical access control and permission system, allowing determination of data access privileges in a finely granular manner without flooding the security subsystem with a multiplicity of rules. HIVE infrastructure will allow engineers and scientists to perform NGS analysis in a manner that is both efficient and secure. HIVE is actively supported in public and private domains, and project collaborations are welcomed. Database URL: https://hive.biochemistry.gwu.edu.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4795927PMC
http://dx.doi.org/10.1093/database/baw022DOI Listing

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