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

Authors :
Simonyan, Vahan
Chumakov, Konstantin
Dingerdissen, Hayley
Faison, William
Goldweber, Scott
Golikov, Anton
Gulzar, Naila
Karagiannis, Konstantinos
Lam, Phuc Vinh Nguyen
Maudru, Thomas
Muravitskaja, Olesja
Osipova, Ekaterina
Yang Pan
Pschenichnov, Alexey
Rostovtsev, Alexandre
Santana-Quintero, Luis
Smith, Krista
Thompson, Elaine E.
Tkachenko, Valery
Torcivia-Rodriguez, John
Source :
Database: The Journal of Biological Databases & Curation; 2016, Vol. 2016, p1-16, 16p
Publication Year :
2016

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. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
17580463
Volume :
2016
Database :
Complementary Index
Journal :
Database: The Journal of Biological Databases & Curation
Publication Type :
Academic Journal
Accession number :
119920063
Full Text :
https://doi.org/10.1093/database/baw022