[Contribution and challenges of Big Data in oncology]

Abstract

Since the first draft of the human genome sequence published in 2001, the cost of sequencing has dramatically decreased. The development of new technologies such as next generation sequencing led to a comprehensive characterization of a large number of tumors of various types as well as to significant advances in precision medicine. Despite the valuable information this technological revolution has allowed to produce, the vast amount of data generated resulted in the emergence of new challenges for the biomedical community, such as data storage, processing and mining. Here, we describe the contribution and challenges of Big Data in oncology.

Keywords: Big Data; Cancérologie; Classification moléculaire; Heterogeneity; Hétérogénéité; Molecular classification; Médecine de précision; Oncology; Precision medicine.