Zachary L. Skidmore

This study identifies high-quality neoantigens in follicular lymphoma patients using WES and RNA-Seq, and initiates a clinical trial of personalized neoantigen vaccines combined with PD-1 blockade.

This paper develops species-specific single-cell T cell receptor sequencing (scTCRseq) for dogs, enabling analysis of T cell repertoires in cancer immunotherapy trials.

This study uses ultra-deep exome sequencing to identify recurrent mutations in classical Hodgkin lymphoma HRS cells, demonstrating its utility for analyzing genomic variants in large patient cohorts.

RegTools identifies splice-associated variants in cancer by integrating genomic and transcriptomic data across 9,000 tumor samples, discovering 235,778 splicing events.

The paper describes the evolution of the CIViC knowledgebase to meet the needs of the cancer variant interpretation community by expanding its functionality and data types.

The paper designs single molecule molecular inversion probes targeting clinically relevant variants using the CIViC database, demonstrating high sensitivity and discovering missed variants in cancer samples.

This paper establishes a standard operating procedure for manual refinement of somatic variants in tumor sequencing data to improve consistency and reproducibility.

The paper identifies somatic mutations with prognostic effects in ER+ breast cancer using genomic data from multiple cohorts.