Resources for Researchers
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 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.
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.
The ImmuneSpace database is currently composed of 21 studies covering 10 types of assays and 2,500 total participants.
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.
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).