Blog
How does iReceptor Plus address privacy issues?
Praise for iReceptor Plus and its ability to help researchers around the world to share and analyze huge immunological distributed datasets was recently posted on ERCIM News magazine.
Discovery of neutralizing antibodies results from single-cell sequencing of B-cells from COVID-19 patients
A new study on single-cells sequencing of B-cells from COVID-19 patients – led by Dr. Natalia Freund in collaboration with the iR+ Project – has been published in PLoS Pathogens.
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.
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.
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.
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.