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UID:isc_hpc_ISC High Performance 2018_sess113_post108@linklings.com
SUMMARY:(RP09) iReceptor: A Platform for Exploring and Analyzing Antibody/
 B-cell and T-cell Receptor Repertoire Data across Federated Repositories
DESCRIPTION:Research Poster\n\n(RP09) iReceptor: A Platform for Exploring 
 and Analyzing Antibody/B-cell and T-cell Receptor Repertoire Data across F
 ederated Repositories\n\nCorrie, Breden\n\nIndividuals produce an immense 
 repertoire of antibody/B-cell and T-cell receptor sequences in order to re
 cognize and destroy a diverse array of pathogens.  For example, it has bee
 n 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 c
 haracterize the Adaptive Immune Receptor Repertoire (AIRR) in exquisite de
 tail.  These AIRR-Seq data sets have rapidly become critical to vaccine de
 velopment, understanding the immune response in autoimmune disease, and in
  developing novel therapeutics against cancer. The iReceptor system (irece
 ptor.org) is a platform to integrate and analyze these immense data sets b
 y combining: 1) an international network of AIRR-Seq data repositories; 2)
  the ability to federate AIRR-Seq data across these distributed repositori
 es; 3) the ability to apply advanced analytical tools using large advanced
  research computing (ARC) resources; and 4) a scientific gateway that hide
 s the complexity of performing research queries and advanced analyses acro
 ss these federated data. iReceptor enables these capabilities by building 
 on the standards work being carried our by the AIRR Community (airr-commun
 ity.org). iReceptor manages the staging of data and control of ARC analysi
 s jobs through the use of the AGAVE science-as-a-service platform (agaveap
 i.co).\n\nPasses: Conference Pass, Big Data Analytics, Clouds and Distribu
 ted Computing, HPC workflows, Personalized Medicine\n\nTag: Conference Pas
 s, Big Data Analytics, Clouds and Distributed Computing, HPC workflows, Pe
 rsonalized Medicine
URL:https://2018.isc-program.com/presentation/?id=post108&sess=sess113
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