📢 Genome Research Update from MiLaboratories! 📢 We are happy to share that our latest research paper, "Ultrasensitive Allele Inference from Immune Repertoire Sequencing Data with MiXCR," is published in Genome Research. Our team, in collaboration with @ScottBoydLab and @AMikelov , PhD from Stanford University, Corey Watson @ctwatson29 and Oscar L Rodriguez @olrodriguez_ from University of Louisville, Diego Ortmans and Souad Rahmouni from University of Liège, has developed a novel algorithm for highly sensitive and specific inference of variable (V) and joining (J) gene alleles. This breakthrough allows for the reconstruction of individual high-quality gene segment libraries, enhancing our understanding of allelic diversity in immunoglobulin (IG) and T cell receptor (TR) loci. Check out our public database built using AIRR-seq data from 450 donors: vdj.online/library Key highlights: - Our algorithm is integrated into the MiXCR software, enabling high-throughput novel allele discovery. - We assessed genetic diversity within IGH, TRA, and TRB loci across diverse populations using AIRR-seq data from 450 donors. - A publicly accessible database of inferred alleles and their population frequencies has been established and made available at vdj.online/library . A big thank you to all our colleagues and collaborators! 🔗 Read the full paper here: lnkd.in/d8pVmQ4y