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Data integration in biological research: an overview
Data sharing, integration and annotation are essential to ensure the reproducibility of the analysis and interpretation of the experimental findings. Often these activities are perceived as a role that bioinformaticians and computer scientists have to take with no or little input from the experiment...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4557916/ https://www.ncbi.nlm.nih.gov/pubmed/26336651 http://dx.doi.org/10.1186/s40709-015-0032-5 |
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author | Lapatas, Vasileios Stefanidakis, Michalis Jimenez, Rafael C. Via, Allegra Schneider, Maria Victoria |
author_facet | Lapatas, Vasileios Stefanidakis, Michalis Jimenez, Rafael C. Via, Allegra Schneider, Maria Victoria |
author_sort | Lapatas, Vasileios |
collection | PubMed |
description | Data sharing, integration and annotation are essential to ensure the reproducibility of the analysis and interpretation of the experimental findings. Often these activities are perceived as a role that bioinformaticians and computer scientists have to take with no or little input from the experimental biologist. On the contrary, biological researchers, being the producers and often the end users of such data, have a big role in enabling biological data integration. The quality and usefulness of data integration depend on the existence and adoption of standards, shared formats, and mechanisms that are suitable for biological researchers to submit and annotate the data, so it can be easily searchable, conveniently linked and consequently used for further biological analysis and discovery. Here, we provide background on what is data integration from a computational science point of view, how it has been applied to biological research, which key aspects contributed to its success and future directions. |
format | Online Article Text |
id | pubmed-4557916 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-45579162015-09-03 Data integration in biological research: an overview Lapatas, Vasileios Stefanidakis, Michalis Jimenez, Rafael C. Via, Allegra Schneider, Maria Victoria J Biol Res (Thessalon) Review Data sharing, integration and annotation are essential to ensure the reproducibility of the analysis and interpretation of the experimental findings. Often these activities are perceived as a role that bioinformaticians and computer scientists have to take with no or little input from the experimental biologist. On the contrary, biological researchers, being the producers and often the end users of such data, have a big role in enabling biological data integration. The quality and usefulness of data integration depend on the existence and adoption of standards, shared formats, and mechanisms that are suitable for biological researchers to submit and annotate the data, so it can be easily searchable, conveniently linked and consequently used for further biological analysis and discovery. Here, we provide background on what is data integration from a computational science point of view, how it has been applied to biological research, which key aspects contributed to its success and future directions. BioMed Central 2015-09-02 /pmc/articles/PMC4557916/ /pubmed/26336651 http://dx.doi.org/10.1186/s40709-015-0032-5 Text en © Lapatas 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 Lapatas, Vasileios Stefanidakis, Michalis Jimenez, Rafael C. Via, Allegra Schneider, Maria Victoria Data integration in biological research: an overview |
title | Data integration in biological research: an overview |
title_full | Data integration in biological research: an overview |
title_fullStr | Data integration in biological research: an overview |
title_full_unstemmed | Data integration in biological research: an overview |
title_short | Data integration in biological research: an overview |
title_sort | data integration in biological research: an overview |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4557916/ https://www.ncbi.nlm.nih.gov/pubmed/26336651 http://dx.doi.org/10.1186/s40709-015-0032-5 |
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