Srinivas Rajagopalan

This paper develops SMART-PTA for single-cell whole-genome and transcriptome sequencing, revealing clonal evolution in aged human esophageal tissue over 70 years.

This paper introduces ppmSeq, a sequencing technology that improves accuracy and efficiency in detecting SNVs by sequencing both DNA strands, showing superior performance in clinical applications like ctDNA detection.

The paper uses single-cell sequencing to uncover hidden genetic diversity in pediatric ALL that is not detected by bulk sequencing, identifying treatment-resistant clones and their associated mutations.

This paper introduces MRD-EDGE, a machine learning platform for ultrasensitive ctDNA detection in plasma WGS, showing improved sensitivity and broader applicability for MRD monitoring.

This study applies low-cost whole genome sequencing to detect circulating tumor DNA at high sensitivity in plasma samples, achieving error rates as low as 10^-7 and enabling cancer monitoring without matched tumor sequencing.