Resources for Researchers
The Chicago Center for Functional Annotation (CCFA) is defining gene function on multiple scales, using a multi-disciplinary set of cellular, genetic, molecular, and biochemical approaches.
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:
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.
The portal brings together some exciting features including: links to BCBB’s training resources; a section of scripts, code, and programs created by NIAID researchers downloadable from GitHub; and a curated calendar of events with entries focused on bioinformatics and computational biology.
The Orfeome Project is part of the NIAID-supported Functional Genomics Program.
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 Structural Genomics Centers for Infectious Diseases provide the research community with:
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