AIRR Community Data Standards
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README.rst

AIRR Community Data Standards

Introduction

One of the core initiatives of the Adaptive Immune Receptor Repertoire (AIRR) Community [Breden_2017] has been to develop standards regarding the content and format of metadata associated with AIRR sequencing datasets. The primary aim of this effort is to make published AIRR datasets FAIR (findable, accessible, interoperable, reusable). This work has been a joint effort between the AIRR Community's Minimal Standards and Data Representation Working Groups.

The MiAIRR Data Standard

In order to support FAIR-ness, reproducibility, quality control, and data deposition in a common repository, the AIRR Community has agreed to six high-level data sets that will guide the publication, curation and sharing of AIRR-seq data and metadata:

  • study and subject
  • sample collection
  • sample processing and sequencing
  • raw sequence reads
  • processing of sequence data
  • processed AIRR sequences

These data sets and their associated individual items are referred to as MiAIRR, the Minimum information about an Adaptive Immune Receptor Repertoire sequencing experiment. The MiAIRR data standard has recently been published together with a first implementation using the NCBI repository structure [Rubelt_2017]. For further information, including a submission guide and a detailed specification, see here.

Implementations

Contributions

The AIRR Community is an open initiative and we welcome all contributions. Please review our development process before contributing changes.

Contact and Build Status

Please report problems, bugs, comments or enhancement requests using the issue tracker.

https://travis-ci.org/airr-community/airr-standards.svg?branch=master

References

[Rubelt_2017]Rubelt F et al. AIRR Community Recommendations for Sharing Immune Repertoire Sequencing Data. Nat Immunol 18:1274 (2017) [PMID: 29144493] [DOI: 10.1038/ni.3873] [PubMed Central: PMC5790180]
[Breden_2017]Breden F et al. Reproducibility and Reuse of Adaptive Immune Receptor Repertoire Data. Front Immunol 8:1418 (2017) [PMID: 29163494] [DOI: 10.3389/fimmu.2017.01418] [PubMed Central: PMC5671925]
[Zenodo_1185414]Release archive of the AIRR Standards repository. (2015-2018) [DOI: 10.5281/zenodo.1185414]

License

(c) 2015 - 2018 by Syed Ahmad Chan Bukhari, Jean-Philippe Bürckert, Christian E. Busse, Scott Christley, Brian Corrie, Lindsay G. Cowell, Uri Hershberg, Steven H. Kleinstein, Susanna Marquez, Frederick A. Matsen IV, Uri Laserson, Marie-Paule Lefranc, Eline T. Luning Prak, Florian Rubelt, Jason Vander Heiden, Corey T. Watson

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This work is licensed under a Creative Commons Attribution 4.0 International License.