КФУ. Карточка публикации. Biological Insight, High-Throughput Datasets and the Nature of Neuro-Degenerative Disorders

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

Форма представления

Статьи в российских журналах и сборниках

Год публикации

2013

Авторы, сотрудники КФУ

Валенте Андре Хавьер , автор

Ризванов Альберт Анатольевич, автор

Хайбуллина Светлана Францевна, автор

Другие авторы

P.J. Oliveira; A.Palotás

Библиографическое описание на языке оригинала

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.

Аннотация

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.

Ключевые слова

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

Название журнала

CURR DRUG METAB

URL

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

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https://repository.kpfu.ru/?p_id=93708

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Валенте Андре Хавьер	ru_RU
dc.contributor.author	Ризванов Альберт Анатольевич	ru_RU
dc.contributor.author	Хайбуллина Светлана Францевна	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/?p_id=93708	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	Статьи в российских журналах и сборниках	ru_RU