Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2014, Article ID 825649, 2 pages
http://dx.doi.org/10.1155/2014/825649
Editorial

High-Performance Computing and Big Data in Omics-Based Medicine

1Bioinformatics Research Unit, Institute for Biomedical Technologies, National Research Council of Italy, Segrate (MI), Italy
2Bioinformatics and High Performance Computing Research Group, Computer Science Department, Universidad Católica San Antonio de Murcia (UCAM), 30107 Murcia, Spain
3Department of Computer Science and Engineering, Center for Research Computing, University of Notre Dame, Indiana, USA
4Advanced Computing Systems and High Performance Computing Group, Institute for Applied Mathematics and Information Technologies, National Research Council of Italy, Genoa, Italy

Received 18 June 2014; Accepted 18 June 2014; Published 22 December 2014

Copyright © 2014 Ivan Merelli et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [7 citations]

The following is the list of published articles that have cited the current article.

  • Helena den-Haan, Juan José Hernández Morante, and Horacio Pérez-Sánchez. View at Publisher · View at Google Scholar
  • Muhammad Imran Babar, Muhammad Jehanzeb, Masitah Ghazali, Dayang N.A. Jawawi, Falak Sher, and Shahbaz Ahmed Khan Ghayyur, “Big data survey in healthcare and a proposal for intelligent data diagnosis framework,” 2016 2nd IEEE International Conference on Computer and Communications (ICCC), pp. 7–12, . View at Publisher · View at Google Scholar
  • Thomas A. Darde, Olivier Sallou, Emmanuelle Becker, Bertrand Evrard, Cyril Monjeaud, Yvan Le Bras, Bernard Jégou, Olivier Collin, Antoine D. Rolland, and Frédéric Chalmel, “The ReproGenomics Viewer: an integrative cross-species toolbox for the reproductive science community,” Nucleic Acids Research, vol. 43, no. W1, pp. W109–W116, 2015. View at Publisher · View at Google Scholar
  • Federica Russo, “Causation and Correlation in Medical Science: Theoretical Problems,” Handbook of the Philosophy of Medicine, pp. 1–11, 2015. View at Publisher · View at Google Scholar
  • Federica Russo, “Causation and Correlation in Medical Science: Theoretical Problems,” Handbook of the Philosophy of Medicine, pp. 839–849, 2017. View at Publisher · View at Google Scholar
  • J. Espinal-Enríquez, R.A. Mejía-Pedroza, and E. Hernández-Lemus, “Computational Approaches in Precision Medicine,” Progress and Challenges in Precision Medicine, pp. 233–250, 2017. View at Publisher · View at Google Scholar
  • C. Kakkanatt, M. Benigno, V. Margaret Jackson, P. L. Huang, and K. Ng, “Curating and integrating user-generated health data from multiple sources to support healthcare analytics,” IBM Journal of Research and Development, vol. 62, no. 1, pp. 2:1–2:7, 2018. View at Publisher · View at Google Scholar