AIRR Community Archives - iReceptor Plus

Xing Xin-Hui giving an address at the SIGS-AIRR Community joint meeting

AIRR Community and Tsinghua University discuss Chinese research using AIRR-seq data to study adaptive immune response in COVID-19 patients

Post Author:Boaz Babai
Post published:13/05/2021
Post Category:Blog

A meeting focusing on Chinese researchers’ use of AIRR-seq data to study the adaptive immune response, especially in COVID-19 patients, was held recently by the AIRR Community and Tsinghua University.

iReceptor Gateway utilized by researchers to track SARS-CoV-2 T-cells

Post Author:Boaz Babai
Post published:03/11/2020
Post Category:Blog

The AIRR COVID-19 repository offers some 750 million receptor sequences from 17 studies of COVID-19 patients which are stored and are accessible through the iReceptor Gateway.

iReceptor Plus participates in hackathon to fight the COVID-19 pandemic

Post Author:Boaz Babai
Post published:06/06/2020
Post Category:Blog

iReceptor Plus team members Brian Corrie, Laura Gutierrez Funderburk and Felix Breden led the hackathon team, working on a project called the AIRR Adaptive Adapter.

AIRR Community and iReceptor Plus meeting in Genoa an international success

Post Author:Boaz Babai
Post published:28/05/2019
Post Category:Blog

Some 140 scientists attended a conference of the AIRR Community and the iReceptor PlusProject in Genoa, Italy, in the middle of May, along more than 20 virtual participants.

Big data infrastructure needed to improve personalized medicine

Post Author:Boaz Babai
Post published:28/03/2019
Post Category:Blog

George Washington University and FDA researchers called for big data infrastructure to support the future of personalized medicine.

The “Art Gallery” of Data: How the AIRR Community is Making Health and Genomics Data More Valuable through Sharing

Post Author:Boaz Babai
Post published:04/02/2019
Post Category:Blog

If two heads are better than one, then numerous groups of researchers working in numerous countries around the world but sharing data aimed at the same target are preferable to independent and isolated scientific work.