Resources for Researchers
NIAID offers many resources to support your research, including reagents, model organisms, and tissue samples, to name just a few. Use the filters under Filter Search Results to narrow your search, or simply enter specific search terms in the search field.
Chicago Center for Functional Annotation (CCFA)
The Chicago Center for Functional Annotation (CCFA) is defining gene function on multiple scales, using a multi-disciplinary set of cellular, genetic, molecular, and biochemical approaches.
Functional Lists of Unknown TB Entities (FLUTE)
FLUTE is a Functional Genomics Center funded by NIAID, with the goal of discovering the roles of genes from Mtb with previously unknown functions. In addition FLUTE aims to establish an efficient pathway for identifying gene function that could serve as a paradigm for other bacterial species.
Genomic Centers for Infectious Diseases (GCID) Resources
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.
Immcantation Portal
The Immcantation framework is developed as a start-to-finish analytical ecosystem for large-scale characterization of B cell receptor (BCR) and T cell receptor (TCR) repertoires from high-throughput adaptive immune receptor repertoire sequencing (AIRR-seq) datasets.
NIAID Microbiome Program: Sequencing
NIAID’s microbiome sequencing facility studies the structure and function of the microbiome associated with various hosts and body sites. This facility has one dedicated team and is equipped with an Ilumina MiSeq, which can sequence whole genomes or specific amplicons.
Systems Biology Consortium Resources
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