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AIRR Community Meeting IV at the University of Genoa – Save the date!

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AIRR Community Meeting IV: Bridging the Gaps
11-15 May 2019, University of Genoa, Italy

Invitation and Meeting Agenda

Information on past AIRR meetings

The theme of this meeting, “Bridging the Gaps” addresses technological gaps between the amounts of accumulated data and our ability to process them, and the need for more involvement of stakeholder communities (industry, clinicians, patent communities) for uptake of the standards developed by the AIRR Community. We have confirmed two outstanding Keynote speakers – Dr. Sai Reddy from ETH Zurich and Dr. Antonio Lanzavecchia from IRB Bellinzona. Two planned panel discussions will include representatives from other institutions and companies that work with AIRR-seq data. In addition, two “challenge” sessions are planned to address the above-mentioned gaps. Two pre-meeting workshops will be available to teach the basics of immunology, and of AIRR-seq data analysis for beginners. Also planned are two poster sessions; and two tool and software demos sessions.

 

Stay tuned for more information!

The Adaptive Immune Receptor Repertoire Community is now part of The Antibody Society!

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We are pleased and proud to announce the incorporation of the Adaptive Immune Receptor Repertoire (AIRR) Community into the Society.

The AIRR Community is a research-driven group that is organizing and coordinating stakeholders in the use of next-generation sequencing (NGS) technologies to study antibody (Ab)/B-cell and T-cell receptor (TcR) repertoires. Recent advances in sequencing technology have made it possible to sample the immune repertoire in exquisite detail. AIRR sequencing has enormous promise for understanding the dynamics of the immune repertoire in vaccinology, infectious disease, autoimmunity, and cancer biology, but also poses substantial challenges. The AIRR Community was established to meet these challenges. The AIRR Community and its associated meetings and workshops are designed to develop standards and recommendations for: 1) obtaining, analyzing, curating and comparing/sharing NGS AIRR datasets; 2) using and validating tools for analyzing AIRR data; 3) relating AIRR NGS datasets to other “big data” sets, such as microarray, flow cytometric, and MiSeq gene-expression data; and 4) legal and ethical issues involving the use and sharing of AIRR data sets derived from human sources. The proceedings of the workshops, including the recommendations and action plans, will be published to benefit the larger scientific community.

To learn more about the AIRR Community and its work, please explore the items listed under the ‘AIRR Community’ tab above.