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Data integration in the era of omics: current and future challenges
To integrate heterogeneous and large omics data constitutes not only a conceptual challenge but a practical hurdle in the daily analysis of omics data. With the rise of novel omics technologies and through large-scale consortia projects, biological systems are being further investigated at an unprec...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101704/ https://www.ncbi.nlm.nih.gov/pubmed/25032990 http://dx.doi.org/10.1186/1752-0509-8-S2-I1 |
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author | Gomez-Cabrero, David Abugessaisa, Imad Maier, Dieter Teschendorff, Andrew Merkenschlager, Matthias Gisel, Andreas Ballestar, Esteban Bongcam-Rudloff, Erik Conesa, Ana Tegnér, Jesper |
author_facet | Gomez-Cabrero, David Abugessaisa, Imad Maier, Dieter Teschendorff, Andrew Merkenschlager, Matthias Gisel, Andreas Ballestar, Esteban Bongcam-Rudloff, Erik Conesa, Ana Tegnér, Jesper |
author_sort | Gomez-Cabrero, David |
collection | PubMed |
description | To integrate heterogeneous and large omics data constitutes not only a conceptual challenge but a practical hurdle in the daily analysis of omics data. With the rise of novel omics technologies and through large-scale consortia projects, biological systems are being further investigated at an unprecedented scale generating heterogeneous and often large data sets. These data-sets encourage researchers to develop novel data integration methodologies. In this introduction we review the definition and characterize current efforts on data integration in the life sciences. We have used a web-survey to assess current research projects on data-integration to tap into the views, needs and challenges as currently perceived by parts of the research community. |
format | Online Article Text |
id | pubmed-4101704 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41017042014-07-18 Data integration in the era of omics: current and future challenges Gomez-Cabrero, David Abugessaisa, Imad Maier, Dieter Teschendorff, Andrew Merkenschlager, Matthias Gisel, Andreas Ballestar, Esteban Bongcam-Rudloff, Erik Conesa, Ana Tegnér, Jesper BMC Syst Biol Introduction To integrate heterogeneous and large omics data constitutes not only a conceptual challenge but a practical hurdle in the daily analysis of omics data. With the rise of novel omics technologies and through large-scale consortia projects, biological systems are being further investigated at an unprecedented scale generating heterogeneous and often large data sets. These data-sets encourage researchers to develop novel data integration methodologies. In this introduction we review the definition and characterize current efforts on data integration in the life sciences. We have used a web-survey to assess current research projects on data-integration to tap into the views, needs and challenges as currently perceived by parts of the research community. BioMed Central 2014-03-13 /pmc/articles/PMC4101704/ /pubmed/25032990 http://dx.doi.org/10.1186/1752-0509-8-S2-I1 Text en Copyright © 2014 Gomez-Cabrero et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 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 | Introduction Gomez-Cabrero, David Abugessaisa, Imad Maier, Dieter Teschendorff, Andrew Merkenschlager, Matthias Gisel, Andreas Ballestar, Esteban Bongcam-Rudloff, Erik Conesa, Ana Tegnér, Jesper Data integration in the era of omics: current and future challenges |
title | Data integration in the era of omics: current and future challenges |
title_full | Data integration in the era of omics: current and future challenges |
title_fullStr | Data integration in the era of omics: current and future challenges |
title_full_unstemmed | Data integration in the era of omics: current and future challenges |
title_short | Data integration in the era of omics: current and future challenges |
title_sort | data integration in the era of omics: current and future challenges |
topic | Introduction |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101704/ https://www.ncbi.nlm.nih.gov/pubmed/25032990 http://dx.doi.org/10.1186/1752-0509-8-S2-I1 |
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