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The Bioinformatics and Computational Biosciences Branch (BCBB) offers a suite of scientific services and resources for the NIAID research community and its collaborators. BCBB provides expertise and computational solutions to researchers at all levels of experience.
The Clinical Study Support Team (CSST) is a deployable team with the primary objective of developing and fostering overseas relationships through the support of research studies and clinical trials involving pathogens of high consequence.
The GCID use and develop or improve innovative applications of genomic technologies, such as RNA sequencing and metagenomics, and provide rapid and cost-efficient production of high-quality genome sequences of microorganisms, invertebrate vectors of infectious diseases, and hosts and host microbiomes. Multiple strains and isolates of specific microbial species, populations and communities have been and continue to be sequenced.
The HIV Database & Analysis Unit provides an integrated repository of HIV sequence and immunology published data, by curating & maintaining a relational database with searchable web access for the scientific community; and (ii) develop web-based computation analysis methods and tools for
The NIAID Centralized Sequencing Program serves as a genomics resource for NIAID human subjects research studies to help address interrelated challenges in clinical care and NIAID Intramural research. Any NIAID participant is eligible to receive genome sequencing and associated services through this protocol.
The Non-Obese Diabetic (NOD) mouse, which spontaneously develops type 1 diabetes, is a valuable animal model that is used extensively in research exploring the etiology, prevention, and treatment of this disease.
The PapillomaVirus Episteme (PaVE) provides highly organized and curated papillomavirus genomics information and tools to the scientific community for research on the Papillomaviridae family of viruses. The PaVE consists of a database and web applications that support the storage, annotation, analysis, and exchange of information. To the extent possible, the PaVE adopts an open source software approach and emphasizes integration and reuse of existing tools.