KFU. Card publication. Biological Insight, High-Throughput Datasets and the Nature of Neuro-Degenerative Disorders

KAZAN
FEDERAL UNIVERSITY

- RUS
- 中文
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BIOLOGICAL INSIGHT, HIGH-THROUGHPUT DATASETS AND THE NATURE OF NEURO-DEGENERATIVE DISORDERS

Form of presentation

Articles in Russian journals and collections

Year of publication

2013

Authors, employees of KFU

Valente Andre Khaver , author

Rizvanov Albert Anatolevich, author

Khaybullina Svetlana Francevna, author

Other authors

P.J. Oliveira; A.Palotás

Bibliographic description in the original language

Valente A.X.C.N. Biological Insight, High-Throughput Datasets and the Nature of Neuro-Degenerative Disorders / A.X.C.N. Valente, P.J. Oliveira, S.F. Khaiboullina, A. Palotás, A.A. Rizvanov // Current Drug Metabolism. – 2013. – Vol.14. – P.814-818.

Annotation

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

The name of the journal

CURR DRUG METAB

URL

http://www.ncbi.nlm.nih.gov/pubmed/23937175

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=93708&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Valente Andre Khaver	ru_RU
dc.contributor.author	Rizvanov Albert Anatolevich	ru_RU
dc.contributor.author	Khaybullina Svetlana Francevna	ru_RU
dc.date.accessioned	2013-01-01T00:00:00Z	ru_RU
dc.date.available	2013-01-01T00:00:00Z	ru_RU
dc.date.issued	2013	ru_RU
dc.identifier.citation	Valente A.X.C.N. Biological Insight, High-Throughput Datasets and the Nature of Neuro-Degenerative Disorders / A.X.C.N. Valente, P.J. Oliveira, S.F. Khaiboullina, A. Palotás, A.A. Rizvanov // Current Drug Metabolism. – 2013. – Vol.14. – P.814-818.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=93708&p_lang=2	ru_RU
dc.description.abstract	CURR DRUG METAB	ru_RU
dc.description.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.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Bio-informatics	ru_RU
dc.subject	biological insight	ru_RU
dc.subject	high-throughput data	ru_RU
dc.subject	data analysis	ru_RU
dc.subject	neuro-degenerative disease	ru_RU
dc.title	Biological Insight, High-Throughput Datasets and the Nature of Neuro-Degenerative Disorders	ru_RU
dc.type	Articles in Russian journals and collections	ru_RU