Biological Insight, High-Throughput Datasets and the Nature of Neuro-Degenerative Disorders

Author(s): André X. C. N. Valente, Paulo J. Oliveira, Svetlana F. Khaiboullina, András Palotás, Albert A. Rizvanov.

Journal Name: Current Drug Metabolism

Volume 14 , Issue 7 , 2013


Abstract:

Life sciences are experiencing a historical shift towards a quantitative, data-rich regime. This transition has been associated with the advent of bio-informatics: mathematicians, physicists, computer scientists and statisticians are now commonplace in the field, working on the analysis of ever larger data-sets. An open question regarding what should drive scientific progress in this new era remains: will biological insight become increasingly irrelevant in a world of hypothesis-free, unbiased data analysis? This piece offers a different perspective, pin-pointing that biological thought is more-than-ever relevant in a data-rich setting. Some of the novel highthroughput information being acquired in the field of neuro-degenerative disorders is highlighted here. As but one example of how theory and experiment can interact in this new reality, our efforts in developing an idiopathic neuro-degenerative disease hematopoietic stemcell ageing theory are described.

Keywords: Bio-informatics, biological insight, high-throughput data, data analysis, neuro-degenerative disease.

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Article Details

VOLUME: 14
ISSUE: 7
Year: 2013
Page: [814 - 818]
Pages: 5
DOI: 10.2174/13892002113149990100
Price: $58

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