iReceptor Gateway
A Distributed Data Management System and Scientific Gateway for Mining Next Generation Sequence Data from Immune Responses.
Description
What is iReceptor?
iReceptor is a data discovery platform that facilitates the curation, analysis and sharing of antibody/B-cell and T-cell receptor repertoires (Adaptive Immune Receptor Repertoire or AIRR-seq data) from multiple labs and institutions. We are committed to providing a platform for researchers to increase the value of their data through sharing with the community. This will greatly increase the amount of data available to answer complex questions about the adaptive immune response, accelerating the development of vaccines, therapeutic antibodies against autoimmune diseases, and cancer immunotherapies. Visit the COVID-19 page for a list of curated COVID-19 AIRR-seq studies.
Our Approach
The iReceptor Gateway integrates large, distributed, AIRR-seq data repositories, following standards for sharing and interoperability developed by the Adaptive Immune Receptor Repertoire (AIRR) Community. The main goal of iReceptor is to connect this distributed network of AIRR-seq repositories into an AIRR Data Commons, allowing queries across multiple projects, labs, and institutions.
Present functionalities include:
- Search for repertoires satisfying certain metadata (e.g. find all AIRR-seq repertoires from ovarian cancer studies)
- Search for all repertoires that contain specific CDR3 sequences
- Search identified repertoires for sequences derived from particular V, D, and J genes and alleles
- Download sequences from these repertoires in AIRR.tsv format, easily importable to other AIRR-seq analysis tools
iReceptor is a member of the iReceptor Plus Consortium. This project will expand the analysis tools available on the Gateway, including for single cell or systems immunology approaches, and add security for iReceptor Plus repositories.
Users of the iReceptor Gateway can search AIRR-seq data from studies on ovarian cancer, autoimmune diseases such as MS and SLE, and infectious diseases such as COVID-19 and HIV. Visit the iReceptor Studies page for a list of curated studies.
Services
iReceptor Turnkey - Source code
iReceptor Service (PHP/MongoDB) - Source code
iReceptor Data Migration Service - Source code
iReceptor Database Service - Source code
iReceptor AIRR Mapping Configuration File - Source code
iReceptor Data Curation - Source code
ireceptor Monitor - Source code
Participating organisations
Mentions
- 1.Author(s): Jamie K. Scott, Felix BredenPublished in Current Opinion in Systems Biology by Elsevier BV in 2020, page: 71-7710.1016/j.coisb.2020.10.001
- 2.Author(s): Michelle Barker, Silvia Delgado Olabarriaga, Nancy Wilkins-Diehr, Sandra Gesing, Daniel S. Katz, Shayan Shahand, Scott Henwood, Tristan Glatard, Keith Jeffery, Brian Corrie, Andrew Treloar, Helen Glaves, Lesley Wyborn, Neil P. Chue Hong, Alessandro CostaPublished in Future Generation Computer Systems by Elsevier BV in 2019, page: 240-24810.1016/j.future.2018.12.026
- 3.Author(s): Brian D. Corrie, Nishanth Marthandan, Bojan Zimonja, Jerome Jaglale, Yang Zhou, Emily Barr, Nicole Knoetze, Frances M. W. Breden, Scott Christley, Jamie K. Scott, Lindsay G. Cowell, Felix BredenPublished in Immunological Reviews by Wiley in 2018, page: 24-4110.1111/imr.12666