Dinesh Kumar

The paper develops computational methods to accurately reconstruct adaptive immune receptor repertoires from partitioned B and T cell subsets, showing improved accuracy compared to pooling sub-repertoires.

This study benchmarks tumor-naive ctDNA detection and quantification methods using WGS and methylation data from cancer patients, identifying performance trade-offs and optimal integration strategies.

HuBIE provides a large-scale immune-repertoire dataset from 1,941 participants, revealing ethnic and age-related differences in TCR and BCR diversity and linking immunological diversity to survival in elderly patients.

The paper introduces immunoPETE, a DNA-based platform for profiling B and T cell receptors, and demonstrates its performance in immune repertoire analysis and clinical applications.