Resources for Researchers
The Bioinformatics and Computational Biosciences Branch (BCBB) offers a suite of scientific services and resources for the NIAID research community and its collaborators. BCBB provides expertise and computational solutions to researchers at all levels of experience.
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.
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.
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 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).
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 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