Resources for Researchers
The ARLG biorepositories were created to aid in the development and evaluation of novel diagnostic tests and laboratory techniques, study mechanisms of resistance, generate preliminary data for study concepts, and support/mentor early-stage investigators pursuing research in the field of antibact
The National Emerging Infectious Diseases Laboratories (NEIDL) is part of a national network of secure facilities studying infectious diseases that are—or have the potential to become—major public health concerns
The Rutgers University Regional Biocontainment Laboratory is one of the NIAID-supported Biocontainment Laboratories. The RBL is a highly secure facility designed to provide an ultra-safe work environment for scientists and support staff, as well as the public at large.
The Tufts New England Regional Biosafety Laboratory (RBL) is one of the NIAID-supported Regional Biocontainment Laboratories.
The University of Tennessee Regional Biocontainment Laboratory (RBL) is one of the NIAID-supported Biocontainment Laboratories.
The NIAID-funded Bioinformatics Resource Centers provide data-driven, production-level, sustainable computational platforms to enable sharing and access to data, portable computational tools, and standards that support interoperability for the infectious diseases research community.
Provides services to facilitate preclinical development of materials that are derived from biotechnology processes. Services will be conducted at the appropriate regulatory compliance level dependent on the stage of product development.
GUNK center is part of the NIAID Functional Genomics Program. This center was created to investigate the role of previously uncharacterized genes of A. baumannii in its ability to cause human disease. Three projects have been established to:
Note: Devices are excluded.
The Structural Genomics Centers for Infectious Diseases provide the research community with:
The Systems Biology Consortium for Infectious Diseases is a community of systems biologists who integrate experimental biology, computational tools and modeling across temporal and spatial scales to improve our understanding of infectious disease