Resources for Researchers
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 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.
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.
Nephele is a microbiome analysis engine which brings together microbiome data and analysis tools in a cloud computing environment. It offers robust, multi-step microbiome analysis pipelines, with no setup time or cost.
NIAID’s microbiome sequencing facility studies the structure and function of the microbiome associated with various hosts and body sites. This facility has one dedicated team and is equipped with an Ilumina MiSeq, which can sequence whole genomes or specific amplicons.
The NIH 3D Print Exchange provides models in formats that are readily compatible with 3D printers, and offers a unique set of tools to create and share 3D-printable models related to biomedical science.
The Orfeome Project is part of the NIAID-supported Functional Genomics Program.
PATRIC, one of the NIAID-funded Bioinformatics Resource Centers, is an information system designed to support the biomedical research community’s work on bacterial infectious diseases via integration of vital pathogen information with rich data and analysis 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).
SPICE is a data-mining software application that analyzes large FLOWJO data sets from polychromatic flow cytometry and organizes the normalized data graphically. SPICE enables users to discover potential correlations in their experimental data within complex data sets.
The Structural Genomics Centers for Infectious Diseases provide the research community with: