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ISSN: 2153-0602

Journal of Data Mining in Genomics & Proteomics
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Review Article

Is it Time for Cognitive Bioinformatics?

Andrey Lisitsa1,2*, Elizabeth Stewart2,3 and Eugene Kolker2-5

1The Russian Human Proteome Organization (RHUPO), Institute of Biomedical Chemistry, Moscow, Russian Federation

2Data Enabled Life Sciences Alliance (DELSA Global), Moscow, Russian Federation

3Bioinformatics and High-Throughput Data Analysis Laboratory, Seattle Children’s Research Institute, Seattle, WA, USA

4Predictive Analytics, Seattle Children’s Hospital, Seattle, WA, USA

5Departments of Biomedical Informatics & Medical Education and Pediatrics, University of Washington, Seattle, WA, USA

*Corresponding Author:
Andrey Lisitsa
The Russian Human Proteome Organization (RHUPO)
Institute of Biomedical Chemistry
Moscow, Russian Federation
Tel: +7(499)246-69-80
Fax: +7(499)245-08-57
E-mail: [email protected]

Received date: June 05, 2015; Accepted date: July 07, 2015; Published date: July 14, 2015

Citation: Lisitsa A, Stewart E, Kolker E (2015) Is it Time for Cognitive Bioinformatics? J Data Mining Genomics Proteomics 6:173. doi: 10.4172/2153-0602.1000173

Copyright: © 2015 Lisitsa A, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Abstract

The concept of cognitive bioinformatics has been proposed for structuring of knowledge in the field of molecular biology. While cognitive science is considered as “thinking about the process of thinking”, cognitive bioinformatics strives to capture the process of thought and analysis as applied to the challenging intersection of diverse fields such as biology, informatics, and computer science collectively known as bioinformatics. Ten years ago cognitive bioinformatics was introduced as a model of the analysis performed by scientists working with molecular biology and biomedical web resources. At present, the concept of cognitive bioinformatics can be examined in the context of the opportunities represented by the information “data deluge” of life sciences technologies. The unbalanced nature of accumulating information along with some challenges poses currently intractable problems for researchers. The solutions to these problems at the micro-and macro-levels are considered with regards to the role of cognitive approaches in the field of bioinformatics.

Keywords

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