Nathan J Edwards

The paper identifies novel expressed SNVs in tumor and normal scRNA-seq data, revealing a significant number of shared and potentially clinically relevant variants.

SCExecute enables cell barcode-stratified analysis of scRNA-seq data by executing user commands on extracted scBAM files to detect cell-specific variants.

SCReadCounts estimates cell-level SNVs from scRNA-seq data, enabling mutation analysis and downstream applications in cancer and other studies.

This paper describes a workflow to improve glycan data interoperability between ChEBI, PubChem, and GlyGen by integrating and prioritizing glycan annotations.

An ensemble of six imputation methods, built through the NCI-CPTAC Proteogenomics DREAM Challenge, fills missing values in labeled LC-MS/MS proteomics data, helping most for low-abundance proteins.