Resources for Researchers
The RSC Public Website, run by the DAIDS Regulatory Support Center (RSC) contractor, has been used in the DAIDS community for over 10 years and is a primary platform to communicate updates to templates, process changes, and other information needed by the RSC research community.
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.
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
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.
ImmPort is a Web portal that contains data from NIAID-funded immunology studies, including basic research and clinical trials. The portal provides online tools that allow users to analyze the data and visualize the results.
The ImmuneSpace database is currently composed of 21 studies covering 10 types of assays and 2,500 total participants.
The Primary Immunodeficiency (PI) Diseases Registry collects validated data on all PI diagnoses from patients who give Informed Consent. The de-identified data in the registry is freely disseminated to those with research questions about PI diseases.
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).
The tools in the Systems Immunology Toolkit will collectively allow you to upload microarray data, view that data on a gene-by-gene basis, overlay clinical data, analyze your data using a modular framework, compare your data to other datasets and diseases, and get a quick functional interpretatio
TrialShare is a transformative approach to data-sharing that enables clinical trial transparency.