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

Autor: André X. C. N. Valente, Albert A. Rizvanov, Svetlana F. Khaiboullina, Paulo J. Oliveira, András Palotás
Rok vydání: 2013
Předmět:
Zdroj: Current Drug Metabolism. 14:814-818
ISSN: 1389-2002
DOI: 10.2174/13892002113149990100
Popis: 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.
Databáze: OpenAIRE