The NCI Center for Biomedical Informatics and Information Technology (CBIIT) seeks to accelerate scientific discovery and facilitate translational research and precision medicine. Its principal activities include developing, coordinating, and deploying enterprise-wide biomedical-informatics and scientific-management information-technology (IT) systems, infrastructure, open-source applications, semantics, and data resources in support of the Institute's research agenda.
National Cancer Informatics Program
NCI established the within CBIIT as the Institute's primary biomedical-informatics initiative. The NCIP will build on and extend investments that NCI has made during the past two decades to develop the informatics assets and computational approaches needed to support scientific discovery and clinical application in the postgenomics era.
More information is available about applications and downloads.
NCI Computer Services
CBIIT manages the IT infrastructure that supports scientific and administrative activities across NCI. Intramural services include support for desktop computers and users, core information technologies, network management and operations, centralized network storage, and network security. NCI employees can visit the NCI Computer Services Intranet for more information.
Questions or comments? Contact CBIIT.
CBIIT Speaker Series
The CBIIT Speaker Series is a bi-weekly knowledge-sharing forum featuring internal and external speakers discussing topics of interest to the biomedical-informatics and cancer-research communities.
Visit the CBIIT Speaker Series Wiki for more details.
NCI Biomedical Informatics Blog
CBIIT leadership, staff, and guests from across NCI and the extramural community use blog to discuss topics relevant to the future direction of NCIP and other NCI-supported research-and-development efforts centered on biomedical informatics and its role in furthering cancer research and care. Such topics include open-source and open-development initiatives, next-generation sequencing, the promulgation of standards to support interoperability, and challenges surrounding the study and analysis of large, complex data collections, most notably data management and integration.