Matthias Lienhard

This paper introduces scClone2DR, a framework predicting tumour drug response at the clone level using single-cell DNA/RNA sequencing and drug-screening data, showing improved accuracy in identifying clonal sensitivities and resistance.

Benchmarking six long-read RNA-seq protocol-platform combinations and 14 tools across human, mouse, and manatee shows read length and accuracy drive isoform detection, depth drives quantification.

This study uses long-read transcriptome sequencing to analyze SF3B1 mutations in CLL and MDS patients, revealing common splicing alterations and their impact on disease prognosis.

The paper introduces IsoTools, a Python package for analyzing long-read transcriptome data, showing it improves alternative and differential splicing analysis compared to short-read RNA-Seq.