Spanish 
Chinese 
Russian 
German 
French 
Japanese 
Portuguese 
Hindi Short Communication
Challenges with Big Data in Oncology
Carmela Dantas Barbosa*Centre Leon Berard, CRCL, UMR INSERM 1052-CNRS 5286, Team Targeting the Tumor and its Immune Environment, Cheney D, 3rd Floor, 28 Rue Laennec69373, Lyon Cedex 08, France
- *Corresponding Author:
- Carmela Dantas Barbosa
Centre Leon Berard, CRCL, UMR INSERM 1052-CNRS 5286
Team Targeting the Tumor and its Immune Environment, Cheney D
3rd Floor, 28 Rue Laennec69373, Lyon Cedex 08, France
Tel: +33 610 455 397
E-mail: carmeladantas@hotmail.com
Received date: April 22, 2016; Accepted date: May 16, 2016; Published date: May 23, 2016
Citation: Barbosa CD (2016) Challenges with Big Data in Oncology. J Orthop Oncol 2:112. doi:10.4172/joo.1000112
Copyright: © 2016 Barbosa CD. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Abstract
We are in the era of large-scale science. In oncology there is a huge volume of data sets grouping information on cancer genome, transciptome, clinical data and more. The challenge of big data in cancer is to integrate all this diversity of data collections into a unique platform that can be analyzed leading to the generation of readable files. The possibility of harnessing information from all the accumulated data lead to an improvement in cancer patient treatment and outcome. Few examples of successful implementation of bioinformatics platforms do prove the challenge being as big as the data, but possible to be overcome.
