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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George Mason University's Biomedical Research Laboratory (BRL) is one of the NIAID supported Regional Biocontainment Laboratories. It operates as a central core facility in the Institute for Biohealth Innovation to advance research and develop novel diagnostics, therapeutics, and vaccines against viral and bacterial infectious agents by a diverse population of investigators.

As one of two National Biocontainment Laboratories constructed under grants awarded by the National Institute of Allergy and Infectious Diseases/National Institutes of Health (NIAID/NIH), the Galveston National Laboratory (GNL) enables progress in our understanding of the fundamental mechanisms underlying the spread of infectious diseases and the pathogenesis of the diseases they cause.

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. The primary goal of the CCFA is to define the biochemical and cellular functions of uncharacterized genes in the NIAID priority pathogens, Yersinia pestis and Brucella abortus.

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.

The Orfeome Project is part of the NIAID-supported Functional Genomics Program. The project is a collaboration of immunolgy and RNA/DNA virus pathogenesis experts, working together to address the hypothesis that RNA and DNA viruses encode common and unique mechanisms to manipulate virus replication efficiency and host responses to determine severe disease outcomes.

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). From this PDF, P values and confidence intervals can be easily extracted.

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 diseases.