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AIRR Community Standardized Representations for Annotated Immune Repertoires
Journal article   Open access   Peer reviewed

AIRR Community Standardized Representations for Annotated Immune Repertoires

Jason Anthony Vander Heiden, Susanna Marquez, Nishanth Marthandan, Syed Ahmad Chan Bukhari, Christian E. Busse, Brian Corrie, Uri Hershberg, Steven H. Kleinstein, Frederick A. Matsen IV, Duncan K. Ralph, …
Frontiers in immunology, v 9, pp 2206-2206
28 Sep 2018
PMID: 30323809
url
https://doi.org/10.3389/fimmu.2018.02206View
Published, Version of Record (VoR)CC BY V4.0 Open

Abstract

AIRR-seq antibody B cell immunoglobulin Immunology Rep-Seq repertoire T cell
Increased interest in the immune system's involvement in pathophysiological phenomena coupled with decreased DNA sequencing costs have led to an explosion of antibody and T cell receptor sequencing data collectively termed “adaptive immune receptor repertoire sequencing” (AIRR-seq or Rep-Seq). The AIRR Community has been actively working to standardize protocols, metadata, formats, APIs, and other guidelines to promote open and reproducible studies of the immune repertoire. In this paper, we describe the work of the AIRR Community's Data Representation Working Group to develop standardized data representations for storing and sharing annotated antibody and T cell receptor data. Our file format emphasizes ease-of-use, accessibility, scalability to large data sets, and a commitment to open and transparent science. It is composed of a tab-delimited format with a specific schema. Several popular repertoire analysis tools and data repositories already utilize this AIRR-seq data format. We hope that others will follow suit in the interest of promoting interoperable standards.

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Collaboration types
Domestic collaboration
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Web of Science research areas
Immunology
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