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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