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Recent trends in knowledge and data integration for the life sciences

McGarry, Kenneth, Garfield, Sheila and Morris, Nick (2006) Recent trends in knowledge and data integration for the life sciences. Expert Systems, 23 (5). pp. 330-341. ISSN 0266-4720

Item Type: Article

Abstract

The bioscience field has seen some spectacular advances in genomic and proteomic technologies that are able to deliver vast quantities of information on cellular activity. Such technologies are of critical importance to biology, medical science and in drug discovery. However, living systems are highly complex and to fully exploit these technologies requires knowledge at many different levels. Information such as genome sequence data, gene expression data, protein-to-protein interactions and metabolic pathways is required to understand the complexity of biological processes. The challenge for bioinformatics is to tackle the problem of fragmentation of knowledge by integrating the many sources of heterogeneous information into a coherent entity. Another problem is that the high level of biological complexity and the fragmented nature of biological research has meant that it is difficult to keep fully conversant with the latest research and discoveries. Progress in one area of biology may have implications for other areas but the dissemination of this knowledge is not straightforward; difficulties such as differences in naming conventions for genes and biological processes has led to confusion and the lack of productivity. This paper reviews the most recent research to overcome the fragmentation problem where technologies such as text mining and ontologies are used within the knowledge discovery process and the specific technical challenges they address.

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More Information

Depositing User: Sheila Garfield

Identifiers

Item ID: 5647
Identification Number: https://doi.org/10.1111/j.1468-0394.2006.00414.x
ISSN: 0266-4720
URI: http://sure.sunderland.ac.uk/id/eprint/5647
Official URL: http://onlinelibrary.wiley.com/doi/10.1111/j.1468-...

Users with ORCIDS

ORCID for Kenneth McGarry: ORCID iD orcid.org/0000-0002-9329-9835

Catalogue record

Date Deposited: 10 Aug 2015 08:30
Last Modified: 18 Dec 2019 15:38

Contributors

Author: Kenneth McGarry ORCID iD
Author: Sheila Garfield
Author: Nick Morris

University Divisions

Faculty of Technology
Faculty of Technology > School of Computer Science

Subjects

Computing

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