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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2015
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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. |
format | Online Article Text |
id | pubmed-4819822 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT renguomin applyingcomputationbiologyandbigdatatodevelopmultiplexdiagnosticsforcomplexchronicdiseasessuchasosteoarthritis AT krawetzroman applyingcomputationbiologyandbigdatatodevelopmultiplexdiagnosticsforcomplexchronicdiseasessuchasosteoarthritis |