Literature DB >> 35622339

Data Sharing and Reuse: A Method by the AIRR Community.

Brian D Corrie1, Scott Christley2, Christian E Busse3, Lindsay G Cowell4,5, Kira C M Neller6, Florian Rubelt7, Nicholas Schwab8.   

Abstract

High-throughput sequencing of adaptive immune receptor repertoires (AIRR, i.e., IG and TR ) has revolutionized the ability to study the adaptive immune response via large-scale experiments. Since 2009, AIRR sequencing (AIRR-seq) has been widely applied to survey the immune state of individuals (see "The AIRR Community Guide to Repertoire Analysis" chapter for details). One of the goals of the AIRR Community is to make the resulting AIRR-seq data FAIR (Findable, Accessible, Interoperable, and Reusable) (Wilkinson et al. Sci Data 3:1-9, 2016), with a primary goal of making it easy for the research community to reuse AIRR-seq data (Breden et al. Front Immunol 8:1418, 2017; Scott and Breden. Curr Opin Syst Biol 24:71-77, 2020). The basis for this is the MiAIRR data standard (Rubelt et al. Nat Immunol 18:1274-1278, 2017). For long-term preservation, it is recommended that researchers store their sequence read data in an INSDC repository. At the same time, the AIRR Community has established the AIRR Data Commons (Christley et al. Front Big Data 3:22, 2020), a distributed set of AIRR-compliant repositories that store the critically important annotated AIRR-seq data based on the MiAIRR standard, making the data findable, interoperable, and, because the data are annotated, more valuable in its reuse. Here, we build on the other AIRR Community chapters and illustrate how these principles and standards can be incorporated into AIRR-seq data analysis workflows. We discuss the importance of careful curation of metadata to ensure reproducibility and facilitate data sharing and reuse, and we illustrate how data can be shared via the AIRR Data Commons.
© 2022. The Author(s).

Entities:  

Keywords:  AIRR-seq; B-cell receptor; Data reuse; Data sharing; FAIR data; Immunoglobulin; T-cell receptor

Mesh:

Year:  2022        PMID: 35622339     DOI: 10.1007/978-1-0716-2115-8_23

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  17 in total

1.  Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data.

Authors:  Florian Rubelt; Christian E Busse; Syed Ahmad Chan Bukhari; Jean-Philippe Bürckert; Encarnita Mariotti-Ferrandiz; Lindsay G Cowell; Corey T Watson; Nishanth Marthandan; William J Faison; Uri Hershberg; Uri Laserson; Brian D Corrie; Mark M Davis; Bjoern Peters; Marie-Paule Lefranc; Jamie K Scott; Felix Breden; Eline T Luning Prak; Steven H Kleinstein
Journal:  Nat Immunol       Date:  2017-11-16       Impact factor: 25.606

Review 2.  iReceptor: A platform for querying and analyzing antibody/B-cell and T-cell receptor repertoire data across federated repositories.

Authors:  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 Breden
Journal:  Immunol Rev       Date:  2018-07       Impact factor: 12.988

3.  ImmuneDB, a Novel Tool for the Analysis, Storage, and Dissemination of Immune Repertoire Sequencing Data.

Authors:  Aaron M Rosenfeld; Wenzhao Meng; Eline T Luning Prak; Uri Hershberg
Journal:  Front Immunol       Date:  2018-09-21       Impact factor: 7.561

4.  AIRR Community Standardized Representations for Annotated Immune Repertoires.

Authors:  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; Aaron M Rosenfeld; Chaim A Schramm; Scott Christley; Uri Laserson
Journal:  Front Immunol       Date:  2018-09-28       Impact factor: 7.561

5.  Standardized next-generation sequencing of immunoglobulin and T-cell receptor gene recombinations for MRD marker identification in acute lymphoblastic leukaemia; a EuroClonality-NGS validation study.

Authors:  Monika Brüggemann; Michaela Kotrová; Henrik Knecht; Jack Bartram; Myriam Boudjogrha; Vojtech Bystry; Grazia Fazio; Eva Froňková; Mathieu Giraud; Andrea Grioni; Jeremy Hancock; Dietrich Herrmann; Cristina Jiménez; Adam Krejci; John Moppett; Tomas Reigl; Mikael Salson; Blanca Scheijen; Martin Schwarz; Simona Songia; Michael Svaton; Jacques J M van Dongen; Patrick Villarese; Stephanie Wakeman; Gary Wright; Giovanni Cazzaniga; Frédéric Davi; Ramón García-Sanz; David Gonzalez; Patricia J T A Groenen; Michael Hummel; Elizabeth A Macintyre; Kostas Stamatopoulos; Christiane Pott; Jan Trka; Nikos Darzentas; Anton W Langerak
Journal:  Leukemia       Date:  2019-06-26       Impact factor: 11.528

Review 6.  The adaptive immune receptor repertoire community as a model for FAIR stewardship of big immunology data.

Authors:  Jamie K Scott; Felix Breden
Journal:  Curr Opin Syst Biol       Date:  2020-10-10

7.  sciReptor: analysis of single-cell level immunoglobulin repertoires.

Authors:  Katharina Imkeller; Peter F Arndt; Hedda Wardemann; Christian E Busse
Journal:  BMC Bioinformatics       Date:  2016-02-04       Impact factor: 3.169

8.  VDJServer: A Cloud-Based Analysis Portal and Data Commons for Immune Repertoire Sequences and Rearrangements.

Authors:  Scott Christley; Walter Scarborough; Eddie Salinas; William H Rounds; Inimary T Toby; John M Fonner; Mikhail K Levin; Min Kim; Stephen A Mock; Christopher Jordan; Jared Ostmeyer; Adam Buntzman; Florian Rubelt; Marco L Davila; Nancy L Monson; Richard H Scheuermann; Lindsay G Cowell
Journal:  Front Immunol       Date:  2018-05-08       Impact factor: 7.561

9.  Reproducibility and Reuse of Adaptive Immune Receptor Repertoire Data.

Authors:  Felix Breden; Eline T Luning Prak; Bjoern Peters; Florian Rubelt; Chaim A Schramm; Christian E Busse; Jason A Vander Heiden; Scott Christley; Syed Ahmad Chan Bukhari; Adrian Thorogood; Frederick A Matsen Iv; Yariv Wine; Uri Laserson; David Klatzmann; Daniel C Douek; Marie-Paule Lefranc; Andrew M Collins; Tania Bubela; Steven H Kleinstein; Corey T Watson; Lindsay G Cowell; Jamie K Scott; Thomas B Kepler
Journal:  Front Immunol       Date:  2017-11-01       Impact factor: 8.786

10.  The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons.

Authors:  Scott Christley; Ademar Aguiar; George Blanck; Felix Breden; Syed Ahmad Chan Bukhari; Christian E Busse; Jerome Jaglale; Srilakshmy L Harikrishnan; Uri Laserson; Bjoern Peters; Artur Rocha; Chaim A Schramm; Sarah Taylor; Jason Anthony Vander Heiden; Bojan Zimonja; Corey T Watson; Brian Corrie; Lindsay G Cowell
Journal:  Front Big Data       Date:  2020-06-17
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