Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Gomez-Cabrero, David, Abugessaisa, Imad, Maier, Dieter, Teschendorff, Andrew, Merkenschlager, Matthias, Gisel, Andreas, Ballestar, Esteban, Bongcam-Rudloff, Erik, Conesa, Ana, Tegnér, Jesper
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
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
_version_ 1782480937653633024
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
work_keys_str_mv AT gomezcabrerodavid dataintegrationintheeraofomicscurrentandfuturechallenges
AT abugessaisaimad dataintegrationintheeraofomicscurrentandfuturechallenges
AT maierdieter dataintegrationintheeraofomicscurrentandfuturechallenges
AT teschendorffandrew dataintegrationintheeraofomicscurrentandfuturechallenges
AT merkenschlagermatthias dataintegrationintheeraofomicscurrentandfuturechallenges
AT giselandreas dataintegrationintheeraofomicscurrentandfuturechallenges
AT ballestaresteban dataintegrationintheeraofomicscurrentandfuturechallenges
AT bongcamrudlofferik dataintegrationintheeraofomicscurrentandfuturechallenges
AT conesaana dataintegrationintheeraofomicscurrentandfuturechallenges
AT tegnerjesper dataintegrationintheeraofomicscurrentandfuturechallenges