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.

Showing results filtered by:
Clear All
Bioinformatics
Datasets
Genomics & Advanced Technologies
Technology/Software
8 Results

FLUTE is a Functional Genomics Center funded by NIAID, with the goal of discovering the roles of genes from Mtb with previously unknown functions. In addition FLUTE aims to establish an efficient pathway for identifying gene function that could serve as a paradigm for other bacterial species.

GUNK center is part of the NIAID Functional Genomics Program. This center was created to investigate the role of previously uncharacterized genes of A. baumannii in its ability to cause human disease. Three projects have been established to:

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 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.

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 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 disease

TBRNAT presents all known M. tuberculosis transcriptional factors that regulate the expression of a gene of interest as an interactive regulatory network along with additional data in tabular form.