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.

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Bioinformatics Resource Centers (BRCs) for Infectious Diseases

The two 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. 

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.

Genes Unknown in Acinetobacter baumannii (GUNK)

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:

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.

Heterogeneity in Human Immune Cells

Heterogeneity in Human Immune Cells is a website providing interactive figures (iFigs) for a recent study of protein expression heterogeneity in human immune cells conducted by Dr.

HIV Database and Analysis Unit

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

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.

Immune Epitope Database and Analysis Resource (IEDB)

This free resource offers easy searching of experimental data characterizing antibody and T cell epitopes studied in humans, non-human primates, and other animal species.

Papillomavirus Episteme (PaVE)

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.

QuSAGE: Quantitative Set Analysis for Gene Expression

This Gene Set Enrichment-type test designed for analysis of microarray and RNASeq data is designed to provide a faster, more accurate, and easier to understand test for gene expression studies. QuSAGE extends previous methods with a complete probability density function (PDF).

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

TrialShare

TrialShare is a transformative approach to data-sharing that enables clinical trial transparency.