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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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.

International Epidemiologic Database to Evaluate AIDS Data Exchange Standard (IeDEA DES)

A common data model for sharing observational HIV data has been developed by the International epidemiology Databases to Evaluate AIDS (IeDEA). The IeDEA DES is used by the seven operational regions of IeDEA to exchange data with each other for collaborative research studies.

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).

Simmune Project

Simmune is a suite of software tools that guides the user through the multiple hierarchical scales of cellular behavior, facilitating the generation of comprehensive models.

TrialShare

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