Data integration in biological research: an overview

Vasileios Lapatas, Michalis Stefanidakis, Rafael C. Jimenez, Allegra Via, Maria Victoria Schneider

Research output: Contribution to journalArticlepeer-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.
Original languageEnglish (US)
Pages (from-to)1-16
Number of pages16
Issue number1
StatePublished - 2015
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2021-11-04
Acknowledged KAUST grant number(s): KUK-I1-012-43
Acknowledgements: We like to thank The Genome Analysis Centre (TGAC, Norwich, UK) and the Biotechnology and Biological Sciences Research Council (BBSRC, UK). AV acknowledges the King Abdullah University of Science and Technology (KAUST) Award No. KUK-I1-012-43 for funding support.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.


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