Please note that the information on this page is not intended as a complete list of NIAID advanced technologies initiatives. For more information, please see Research Funding.
The Bioinformatics Resource Centers (BRCs) provide scientists with genomic and related data for NIAID Category A–C pathogens; pathogens causing emerging and re-emerging infectious diseases; and invertebrate vectors of infectious diseases. The BRCs will integrate diverse research data types, to include genomics sequence data, functional genomics and proteomics data, host/pathogen interactions, epidemiology, phenotypes to clinical isolates and associated metadata, to be collected from public data repositories and/or generated by other initiatives funded by NIAID.
For more information, contact Ishwar Chandramouliswaran
The Genomic Centers for Infectious Diseases provide services for rapid and cost-efficient production of high-quality genome sequences and high-throughput genotyping of NIAID Category A–C priority pathogens, related organisms, clinical isolates, closely related species, invertebrate vectors of infectious diseases, and microorganisms responsible for emerging and re-emerging infectious diseases and their hosts.
Members of the scientific community may request microbial genome sequencing as well as human and microbial genotyping services.
For more information, contact Eun Mi Lee
The two Structural Genomics Centers experimentally characterize the three-dimensional atomic structure of targeted proteins using state-of-the art, high throughput structural biology technologies. Proteins will be chosen from pathogens in the NIAID Category A–C pathogens and organisms causing emerging and re-emerging diseases.
Members of the scientific community may request the determination of 3-D protein structures. Sequence-verified clones are also available through the centers.
For more information, contact Punam Mathur
The NIAID/Division of Microbiology and Infectious Diseases (DMID) Systems Biology Consortium for Infectious Diseases is a group of interdisciplinary scientists that bridge disparate scientific disciplines including microbiology, immunology, infectious diseases, microbiome, mathematics, physics, bioinformatics, computational biology, machine learning, statistical methods, and mathematical modeling.