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      Current Trends and New Challenges of Databases and Web Applications for Systems Driven Biological Research

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          Abstract

          Dynamic and rapidly evolving nature of systems driven research imposes special requirements on the technology, approach, design and architecture of computational infrastructure including database and Web application. Several solutions have been proposed to meet the expectations and novel methods have been developed to address the persisting problems of data integration. It is important for researchers to understand different technologies and approaches. Having familiarized with the pros and cons of the existing technologies, researchers can exploit its capabilities to the maximum potential for integrating data. In this review we discuss the architecture, design and key technologies underlying some of the prominent databases and Web applications. We will mention their roles in integration of biological data and investigate some of the emerging design concepts and computational technologies that are likely to have a key role in the future of systems driven biomedical research.

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          Gene Ontology: tool for the unification of biology

          Genomic sequencing has made it clear that a large fraction of the genes specifying the core biological functions are shared by all eukaryotes. Knowledge of the biological role of such shared proteins in one organism can often be transferred to other organisms. The goal of the Gene Ontology Consortium is to produce a dynamic, controlled vocabulary that can be applied to all eukaryotes even as knowledge of gene and protein roles in cells is accumulating and changing. To this end, three independent ontologies accessible on the World-Wide Web (http://www.geneontology.org) are being constructed: biological process, molecular function and cellular component.
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            The Systems Biology Graphical Notation.

            Circuit diagrams and Unified Modeling Language diagrams are just two examples of standard visual languages that help accelerate work by promoting regularity, removing ambiguity and enabling software tool support for communication of complex information. Ironically, despite having one of the highest ratios of graphical to textual information, biology still lacks standard graphical notations. The recent deluge of biological knowledge makes addressing this deficit a pressing concern. Toward this goal, we present the Systems Biology Graphical Notation (SBGN), a visual language developed by a community of biochemists, modelers and computer scientists. SBGN consists of three complementary languages: process diagram, entity relationship diagram and activity flow diagram. Together they enable scientists to represent networks of biochemical interactions in a standard, unambiguous way. We believe that SBGN will foster efficient and accurate representation, visualization, storage, exchange and reuse of information on all kinds of biological knowledge, from gene regulation, to metabolism, to cellular signaling.
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              WikiPathways: Pathway Editing for the People

              WikiPathways provides a collaborative platform for creating, updating, and sharing pathway diagrams and serves as an example of content curation by the biology community.
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                Author and article information

                Journal
                Front Physiol
                Front. Physio.
                Frontiers in Physiology
                Frontiers Research Foundation
                1664-042X
                28 September 2010
                03 December 2010
                2010
                : 1
                : 147
                Affiliations
                [1] 1simpleSystems Biology Research Center and College of Life Science, Gwangju Institute of Science and Technology Gwangju, Republic of Korea
                Author notes

                Edited by: Taishin Nomura, Osaka University, Japan

                Reviewed by: Hiroaki Wagatsuma, Kyushu Institute of Technology, Japan; Hideo Matsuda, Osaka University, Japan

                *Correspondence: Do Han Kim, Systems Biology Research Center, Gwangju Institute of Science and Technology, 1 Oryong-dong, Buk-gu, Gwangju 500-712, Korea. e-mail: dhkim@ 123456gist.ac.kr

                This article was submitted to Frontiers in Systems Physiology, a specialty of Frontiers in Physiology.

                Article
                10.3389/fphys.2010.00147
                3059952
                21423387
                76bafd71-4486-4bea-90fb-23d76a91ba4a
                Copyright © 2010 Sreenivasaiah and Kim.

                This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.

                History
                : 31 August 2010
                : 18 October 2010
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 118, Pages: 12, Words: 12812
                Categories
                Physiology
                Review Article

                Anatomy & Physiology
                ontology,grid computing,semantic web,data warehouse,federated database,web2.0,web service,data integration

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