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2016 ; 2016
(ä): ä Nephropedia Template TP
gab.com Text
Twit Text FOAVip
Twit Text #
English Wikipedia
High-performance integrated virtual environment (HIVE): a robust infrastructure
for next-generation sequence data analysis
#MMPMID26989153
Simonyan V
; Chumakov K
; Dingerdissen H
; Faison W
; Goldweber S
; Golikov A
; Gulzar N
; Karagiannis K
; Vinh Nguyen Lam P
; Maudru T
; Muravitskaja O
; Osipova E
; Pan Y
; Pschenichnov A
; Rostovtsev A
; Santana-Quintero L
; Smith K
; Thompson EE
; Tkachenko V
; Torcivia-Rodriguez J
; Voskanian A
; Wan Q
; Wang J
; Wu TJ
; Wilson C
; Mazumder R
Database (Oxford)
2016[]; 2016
(ä): ä PMID26989153
show ga
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.