Hailong Meng

The paper uses scRNA-seq to analyze T cell responses in cutaneous Lyme disease, identifying CD8+ GZMK+ IFNG+ T cells as a key immune population with inflammatory properties.

The paper benchmarks 49 algorithms for predicting B. pertussis vaccination outcomes, finding that purpose-built models outperform literature-based ones due to better handling of nonlinearities and data preprocessing.

The paper introduces nf-core/airrflow, a Nextflow-based workflow for processing AIRR-seq data, validated on simulated and real datasets to analyze immune receptor repertoires.

The paper introduces the Immune Signatures Data Resource, a compendium of standardized systems vaccinology datasets for comparative vaccine response analysis.