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Mastodon

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Exciting news from the AIRR Community! We have expanded our social media presence to Mastodon.

This innovative, decentralized platform aligns with our commitment to open scientific collaboration, allowing us to reach a broader audience. From now on, you can find our latest updates, discussions, and breakthroughs in the field of Adaptive Immune Receptor Repertoire research on Mastodon.

We invite you to follow us on Mastodon, join our conversations, and stay informed about the latest AIRR topics. Our commitment remains to drive innovation, enhance scientific discourse, and share science openly and freely with everyone interested.

Join us on Mastodon: https://fediscience.org/@airr_community

#OpenScience #Immunology #AIRR #DecentralizedSocialMedia

On AIRR Podcast Episode 13 Now Available!

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In the latest episode of the On AIRR – An AIRR-C Podcast Series, Dr. Ulrik Stervbo and Dr. Zhaoqing Ding speak with Maxim Zaslavsky (a PhD student at Stanford) and Dr. Scott D. Boyd (Professor of Pathology and of Food Allergy and Immunology at Stanford) about the preprint “Disease diagnostics using machine learning of immune receptors”, available at BioRxiv. The work is led by Maxim Zaslavsky with Scott Boyd the corresponding author. In the manuscript, the authors demonstrate how AIRR-seq and machine learning can be used in disease diagnostics.

You can subscribe and listen in your favorite podcasting app or check out all of the On AIRR episodes here at http://onairr.airr-community.org or on the AIRR YT Channel. If you share podcast-related content in social media, please remember to use the hashtag #onairr!

 

On AIRR Podcast Episode 12 Now Available!

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In the latest episode of the On AIRR – An AIRR-C Podcast Series, Dr. Ulrik Stervbo and Dr. Zhaoqing Ding speak with Dr. Charlotte Deane (Professor of Structural Bioinformatics in the Department of Statistics in University of Oxford (UK) and head of the Oxford Protein Informatics Group) about the relevance of including protein structure to study and design antibodies, and the availability of such data. 

You can subscribe and listen in your favorite podcasting app or check out all of the On AIRR episodes here at http://onairr.airr-community.org or on the AIRR YT Channel. If you share podcast-related content in social media, please remember to use the hashtag #onairr!

 

On AIRR Podcast Episode 11 Now Available!

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In the latest episode of the On AIRR – An AIRR-C Podcast Series, Dr. Ulrik Stervbo and Dr. Zhaoqing Ding speak with Dr. Xenophon Papademetris (Professor of Radiology and Biomedical Imaging, and Biomedical Engineering at Yale University) about the typical regulatory process for software classified as a medical device.

You can subscribe and listen in your favorite podcasting app or check out all of the On AIRR episodes here at http://onairr.airr-community.org. If you share podcast-related content in social media, please remember to use the hashtag #onairr!

 

partis is now certified as AIRR-compliant

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The AIRR Community is excited to announce that partis has been certified as compliant with the AIRR-C v1.0 standard for AIRR-Seq software tools. partis is an HMM-based framework for B- and T-cell receptor sequence annotation, simulation, clonal family and germline inference, and affinity prediction. It is built on top of the ham HMM compiler and ig-sw set of Smith-Waterman annotation tools. partis is free software under the GPL v3.

In an effort to enable rigorous and reproducible immune repertoire research at the largest scale possible, the AIRR-C Software Working Group has established a standard to validate software tools using the AIRR-C Standards and meeting a series of interoperability and quality criteria. Developers interested in certifying their tools should complete the checklist and submit it to the AIRR-C Software Working Group for evaluation and ratification by its members.

More details can be found at the website AIRR Software WG – Guidance for AIRR Software Tools.

All compliant tools will be issued a badge and listed on the website AIRR Software WG – List of Tools Certified as Compliant. The list currently includes CompAIRR, Dandelion, Immcantation, ImmuneDB, ImmuneML, Scirpy, SONAR and TRUST4 in addition to partis.