Purpose:
To develop, maintain and promote minimal reporting standards for AIRR-seq data.
Minimal Standard for Adaptive Immune Receptor Repertoire (MiAIRR)
One of the primary initiatives of the AIRR Community has been to develop a set of metadata standards for the submission of immune receptor repertoire sequencing datasets. In order to support reproducibility, standard 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 sequences, processing of sequence data, and processed AIRR sequences. The overall goal of this standard is that sufficient detail be provided such that a person skilled in the art of AIRR sequencing and data analysis will be able to reproduce the experiment and data analyses that were performed. The development and implementation of the AIRR data standards in NCBI will benefit the whole AIRR community and accelerate widespread use and adoption of immune repertoire research.
An implementation of the AIRR data standard has been developed for the NCBI repositories (BioProject, BioSample, Sequence Read Archive (SRA) and GenBank). Each of these repositories stores a subset of the information associated with the six sets as follows:
This figure depicts the mapping scheme between the MiAIRR data sets and their respective target NCBI repositories according to the current NCBI implemenation of the MiAIRR standard.
Plan for 2019/2020 include:
* Finalize the current draft specifications for single-cell extensions (scXT)
of the MiAIRR data standard, which were approved as preliminary standard
by AIRR GA at the Genoa meeting.
See https://github.com/airr-community/airr-standards/pull/211
* Prepare and publish a manuscript describing the revised MiAIRR 1.2 standard
and the finalized scXT.
* Transition the WG into a standing committee (SC) tasked with providing
oversight over the MiAIRR data standard (“MiAIRR SC”).
* Continue the “OntoVoc Team” in the current form as cross-WG activity to
identify and recommend ontologies for AIRR Community standards.
Members:
Co-leaders: Christian Busse and Florian Rubelt
Members: Jean-Philippe “JP” Bürckert, Ahmad Chan Bukhari, Christian Busse (Co-lead), Scott Christley, Brian Corrie, Lindsay Cowell, Jamie Faison, John Graybeal, Steven Kleinstein, Uri Laserson, Susanna Marquez Gargallo, Nishanth Marthandan, Enkelejda Miho, Nina Luning Prak, Florian Rubelt (Co-lead), and Jason Vander Heiden.
Resources:
Do you need help planning the data that you will collect in your experiments? Click here for a detailed description of the data elements and further details.
Are you ready to submit your AIRR-seq data? Click here for a detailed “how-to” guide for submission of AIRR-seq data to NCBI databases (BioProject, BioSample, SRA and GenBank).
Visit the Standards Documentation.
Visit the Standards Project on GitHub.
