title: [Biobank in the age of big data].
abstract: In big data era, researchers pay more attention to the correlation between biological information of patient samples and related clinical information of diseases. The large volume correlation analysis will help predict the initiation, development and outcome for specific diseases. Disease-related biobank is the core facility bridging the gap between the clinical information and biological information of the disease. The volume, diversity, and especially the quality, and standardization of sample and sample-related information will influence the outcome of big data prediction. Therefore, the establishment of quality management system, and implement of standard inspection and test method are very urgent for continuous improvement of biobanks.
authors: Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Central Biobank Facility, Peking University Cancer Hospital and Institute, Beijing 100142, China. jiafuj@gmail.com.
authors: Lianhai
authors: L
authors: Zhang
authors: Jiafu
authors: J
authors: Ji
mesh_terms: D018070:Biological Specimen Banks; D016208:Databases, Factual