iReceptor
iReceptor aggregates and enables querying of Adaptive Immune Receptor Repertoire (AIRR) sequencing data across distributed repositories to support comparative analysis of antibody/B-cell and T-cell receptor repertoires.
Key Features:
- Data Integration and Sharing: Links distributed AIRR-seq repositories and supports sequence-level and metadata queries across studies and institutions.
- Comparative Analysis: Enables comparison of large-scale antibody/B-cell and T-cell receptor repertoires across datasets.
- Biomedical Research Support: Integrates AIRR-seq data from diverse disease conditions to support vaccine development, autoimmune and infectious disease research, and cancer therapeutic monitoring.
- Standards and Community Alignment: Implements and supports AIRR Community protocols and standards for describing, reporting, sharing, and comparing AIRR-seq data.
Scientific Applications:
- Vaccine Development: Facilitates analysis of immune receptor repertoire changes relevant to vaccine response characterization.
- Autoimmune and Infectious Disease Research: Supports investigation of repertoire dynamics and immune mechanisms in autoimmune and infectious diseases.
- Cancer Therapeutics Monitoring: Enables characterization and comparison of immune receptor repertoires for monitoring responses to cancer immunotherapies.
Methodology:
Operates as a federated system connecting multiple AIRR-seq repositories and supporting cross-repository sequence and metadata queries while adhering to AIRR Community protocols.
Topics
Collections
Details
- License:
- LGPL-3.0
- Maturity:
- Mature
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 5/5/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Corrie BD, Marthandan N, Zimonja B, Jaglale J, Zhou Y, Barr E, Knoetze N, Breden FMW, Christley S, Scott JK, Cowell LG, Breden F. iReceptor: A platform for querying and analyzing antibody/B‐cell and T‐cell receptor repertoire data across federated repositories. Immunological Reviews. 2018;284(1):24-41. doi:10.1111/imr.12666. PMID:29944754. PMCID:PMC6344122.