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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.
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:
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 Orfeome Project is part of the NIAID-supported Functional Genomics Program.
The Structural Genomics Centers for Infectious Diseases provide the research community with: 3-D protein structures and protein-ligand complexes; Sequence-verified clones and peptides; Services that deliver requested 3-D structure determination; and Molecular screening of proteins in complex with inhibitors, cofactors and substrate analogs
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