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Next generation informatics for big data in precision medicine era

The rise of data-intensive biology, advances in informatics technology, and changes in the way health care is delivered has created an compelling opportunity to allow us investigate biomedical questions in the context of “big data” and develop knowledge systems to support precision medicine. To prom...

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Detalles Bibliográficos
Autores principales: Zhang, Yuji, Zhu, Qian, Liu, Hongfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4632361/
https://www.ncbi.nlm.nih.gov/pubmed/26539249
http://dx.doi.org/10.1186/s13040-015-0064-2
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author Zhang, Yuji
Zhu, Qian
Liu, Hongfang
author_facet Zhang, Yuji
Zhu, Qian
Liu, Hongfang
author_sort Zhang, Yuji
collection PubMed
description The rise of data-intensive biology, advances in informatics technology, and changes in the way health care is delivered has created an compelling opportunity to allow us investigate biomedical questions in the context of “big data” and develop knowledge systems to support precision medicine. To promote such data mining and informatics technology development in precision medicine, we hosted two international informatics workshops in 2014: 1) the first workshop on Data Mining in Biomedical informatics and Healthcare, in conjunction with the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014), and 2) the first workshop on Translational biomedical and clinical informatics, in conjunction with the 8th International Conference on Systems Biology and the 4th Translational Bioinformatics Conference (ISB/TBC 2014). This thematic issue of BioData Mining presents a series of selected papers from these two international workshops, aiming to address the data mining needs in the informatics field due to the deluge of “big data” generated by next generation biotechnologies such as next generation sequencing, metabolomics, and proteomics, as well as the structured and unstructured biomedical and healthcare data from electronic health records. We are grateful for the BioData Mining’s willingness to produce this forward-looking thematic issue.
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spelling pubmed-46323612015-11-05 Next generation informatics for big data in precision medicine era Zhang, Yuji Zhu, Qian Liu, Hongfang BioData Min Review The rise of data-intensive biology, advances in informatics technology, and changes in the way health care is delivered has created an compelling opportunity to allow us investigate biomedical questions in the context of “big data” and develop knowledge systems to support precision medicine. To promote such data mining and informatics technology development in precision medicine, we hosted two international informatics workshops in 2014: 1) the first workshop on Data Mining in Biomedical informatics and Healthcare, in conjunction with the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2014), and 2) the first workshop on Translational biomedical and clinical informatics, in conjunction with the 8th International Conference on Systems Biology and the 4th Translational Bioinformatics Conference (ISB/TBC 2014). This thematic issue of BioData Mining presents a series of selected papers from these two international workshops, aiming to address the data mining needs in the informatics field due to the deluge of “big data” generated by next generation biotechnologies such as next generation sequencing, metabolomics, and proteomics, as well as the structured and unstructured biomedical and healthcare data from electronic health records. We are grateful for the BioData Mining’s willingness to produce this forward-looking thematic issue. BioMed Central 2015-11-03 /pmc/articles/PMC4632361/ /pubmed/26539249 http://dx.doi.org/10.1186/s13040-015-0064-2 Text en © Zhang et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Zhang, Yuji
Zhu, Qian
Liu, Hongfang
Next generation informatics for big data in precision medicine era
title Next generation informatics for big data in precision medicine era
title_full Next generation informatics for big data in precision medicine era
title_fullStr Next generation informatics for big data in precision medicine era
title_full_unstemmed Next generation informatics for big data in precision medicine era
title_short Next generation informatics for big data in precision medicine era
title_sort next generation informatics for big data in precision medicine era
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4632361/
https://www.ncbi.nlm.nih.gov/pubmed/26539249
http://dx.doi.org/10.1186/s13040-015-0064-2
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