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

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.

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

iReceptor Plus partners leverage 3D-derived vocabulary to demonstrate predictability of antibody-antigen binding

iR+ partners, Victor Greiff and Andrei Slabodkin of UiO, show that a compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding, in a new paper published at Cell Reports.

Continue Reading iReceptor Plus partners leverage 3D-derived vocabulary to demonstrate predictability of antibody-antigen binding

iReceptor Plus partners release immuneML, a platform for machine learning analysis of adaptive immune receptor repertoires

Research entitled “Mining adaptive immune receptor repertoires for biological and clinical information using machine learning” has been published in the journal Current Opinion in Systems Biology by three iR+ partners.

Continue Reading iReceptor Plus partners release immuneML, a platform for machine learning analysis of adaptive immune receptor repertoires

iReceptor Plus partners published a review article on mining AIRRs for biological and clinical information using machine learning

Research entitled “Mining adaptive immune receptor repertoires for biological and clinical information using machine learning” has been published in the journal Current Opinion in Systems Biology by three iR+ partners.

Continue Reading iReceptor Plus partners published a review article on mining AIRRs for biological and clinical information using machine learning