Oluwagbemi, O.

Development of a prototype hybrid-grid-based computing framework for accessing bioinformatics databases and resources

Article

Oluwagbemi, O. 2012. Development of a prototype hybrid-grid-based computing framework for accessing bioinformatics databases and resources. Scientific Research and Essays . 7 (7), pp. 730-739.

Publication dates
Type	Article
Title	Development of a prototype hybrid-grid-based computing framework for accessing bioinformatics databases and resources
Authors	Oluwagbemi, O.
Abstract	Bioinformatics has already entered into its post genomic era, where research has advanced from data collection to data analysis using advanced computational and analytical tools. Due to current high demands on bioinformatics data, the various shortcomings in the computing infrastructure associate with the handling and processing of such biological data has constituted a great challenge. In this paper, effort was made at developing and describing a prototype of a new-generation computing framework known as the hybrid-grid-based computing framework for bioinformatics (HGCFB), with the aim of maintaining, sharing, discovering, and expanding bioinformatics knowledge in geographically distributed environments. This paper proposed the system architecture of a prototype hybrid-grid-based computing framework for bioinformatics (HGCFB), and described its corresponding functionalities. Attempts were also made at implementing some aspects of this framework with an event driven programming language. This framework will be very useful in facilitating the effective, efficient use and management of bioinformatics databases and resources.
Keywords	Bioinformatics; biological databases and resources; computing infrastructure; hybrid -grid-based framework
Sustainable Development Goals	3 Good health and well-being
Middlesex University Theme	Health & Wellbeing
Publisher	Academic Journals
Journal	Scientific Research and Essays
ISSN	1992-2248
Print	2012
Publication process dates
Accepted	17 Feb 2012
Deposited	19 Apr 2024
Output status	Published
Language	English

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