(RP09) iReceptor: A Platform for Exploring and Analyzing Antibody/B-cell and T-cell Receptor Repertoire Data across Federated Repositories
Big Data Analytics
Clouds and Distributed Computing
TimeTuesday, June 26th8:30am - 10am
DescriptionIndividuals produce an immense repertoire of antibody/B-cell and T-cell receptor sequences in order to recognize and destroy a diverse array of pathogens. For example, it has been estimated that the number of possible human B-cell sequences is greater than 10^13, and each person produces 10^8 - 10^9 B-cells during an immune response, many of which are unique. In 2009 NGS approaches were used to characterize the Adaptive Immune Receptor Repertoire (AIRR) in exquisite detail. These AIRR-Seq data sets have rapidly become critical to vaccine development, understanding the immune response in autoimmune disease, and in developing novel therapeutics against cancer. The iReceptor system (ireceptor.org) is a platform to integrate and analyze these immense data sets by combining: 1) an international network of AIRR-Seq data repositories; 2) the ability to federate AIRR-Seq data across these distributed repositories; 3) the ability to apply advanced analytical tools using large advanced research computing (ARC) resources; and 4) a scientific gateway that hides the complexity of performing research queries and advanced analyses across these federated data. iReceptor enables these capabilities by building on the standards work being carried our by the AIRR Community (airr-community.org). iReceptor manages the staging of data and control of ARC analysis jobs through the use of the AGAVE science-as-a-service platform (agaveapi.co).