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Applying computation biology and “big data” to develop multiplex diagnostics for complex chronic diseases such as osteoarthritis

The data explosion in the last decade is revolutionizing diagnostics research and the healthcare industry, offering both opportunities and challenges. These high-throughput “omics” techniques have generated more scientific data in the last few years than in the entire history of mankind. Here we pre...

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Detalles Bibliográficos
Autores principales: Ren, Guomin, Krawetz, Roman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819822/
https://www.ncbi.nlm.nih.gov/pubmed/26809774
http://dx.doi.org/10.3109/1354750X.2015.1105499
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author Ren, Guomin
Krawetz, Roman
author_facet Ren, Guomin
Krawetz, Roman
author_sort Ren, Guomin
collection PubMed
description The data explosion in the last decade is revolutionizing diagnostics research and the healthcare industry, offering both opportunities and challenges. These high-throughput “omics” techniques have generated more scientific data in the last few years than in the entire history of mankind. Here we present a brief summary of how “big data” have influenced early diagnosis of complex diseases. We will also review some of the most commonly used “omics” techniques and their applications in diagnostics. Finally, we will discuss the issues brought by these new techniques when translating laboratory discoveries to clinical practice.
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spelling pubmed-48198222016-04-22 Applying computation biology and “big data” to develop multiplex diagnostics for complex chronic diseases such as osteoarthritis Ren, Guomin Krawetz, Roman Biomarkers Review Article The data explosion in the last decade is revolutionizing diagnostics research and the healthcare industry, offering both opportunities and challenges. These high-throughput “omics” techniques have generated more scientific data in the last few years than in the entire history of mankind. Here we present a brief summary of how “big data” have influenced early diagnosis of complex diseases. We will also review some of the most commonly used “omics” techniques and their applications in diagnostics. Finally, we will discuss the issues brought by these new techniques when translating laboratory discoveries to clinical practice. Taylor & Francis 2015-11-17 2016-01-26 /pmc/articles/PMC4819822/ /pubmed/26809774 http://dx.doi.org/10.3109/1354750X.2015.1105499 Text en © 2016 The Author(s). Published by Taylor & Francis. http://creativecommons.org/Licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/Licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Ren, Guomin
Krawetz, Roman
Applying computation biology and “big data” to develop multiplex diagnostics for complex chronic diseases such as osteoarthritis
title Applying computation biology and “big data” to develop multiplex diagnostics for complex chronic diseases such as osteoarthritis
title_full Applying computation biology and “big data” to develop multiplex diagnostics for complex chronic diseases such as osteoarthritis
title_fullStr Applying computation biology and “big data” to develop multiplex diagnostics for complex chronic diseases such as osteoarthritis
title_full_unstemmed Applying computation biology and “big data” to develop multiplex diagnostics for complex chronic diseases such as osteoarthritis
title_short Applying computation biology and “big data” to develop multiplex diagnostics for complex chronic diseases such as osteoarthritis
title_sort applying computation biology and “big data” to develop multiplex diagnostics for complex chronic diseases such as osteoarthritis
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4819822/
https://www.ncbi.nlm.nih.gov/pubmed/26809774
http://dx.doi.org/10.3109/1354750X.2015.1105499
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