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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.
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.
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.
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 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’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.
PathogenAR is an Augmented Reality application from the National Institute for Allergy and Infectious Diseases (NIAID). Explore interactive stories about pathogens and pathogenic disease using touch gestures or a Merge Cube Device.
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