Abstract
Integrating a wide range of biomedical data such as that rapidly emerging from the use of next-generation sequencing is expected to have a key role in identifying and qualifying new biomarkers to support precision medicine. Here, we highlight some of the challenges for biomedical data integration and approaches to address them.
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References
Marti-Solano, M. et al. Integrative knowledge management to enhance pharmaceutical R&D. Nat. Rev. Drug Discov. 13, 239–240 (2014).
Acknowledgements
P. Groth, J. Saric, P. Scordis, M. Grossman, J. Quackenbush, B. Williams-Jones, R. Schneider, and A. Pai gave presentations and are acknowledged together with the rest of the participants for their valuable input to the ideas in this article (see Supplementary information S1 (box)).
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Supplementary information
Supplementary information S1 (box)
Agenda and participants for “Data integration and biomarker translational research in pharmas” The workshop, organized by Bayer Pharma, was held on 10th-11th of March 2015 at the Maritim proArte Hotel, Berlin, Germany. (PDF 205 kb)
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Elefsinioti, A., Bellaire, T., Wang, A. et al. Key factors for successful data integration in biomarker research. Nat Rev Drug Discov 15, 369–370 (2016). https://doi.org/10.1038/nrd.2016.74
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DOI: https://doi.org/10.1038/nrd.2016.74
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