Arndt Hartmann

OncoVI is a Python-based tool that automates oncogenicity classification of somatic variants using guidelines, achieving 80% accuracy on test data and 79% agreement with expert assessments.

This paper benchmarks the Ultima UG100 and Illumina NovaSeq platforms on FFPE tissues for various sequencing modalities, finding they produce comparable results with subtle discrepancies in non-coding transcripts.

This paper develops a fully-automated workflow to streamline NGS-based analyses in Molecular Tumour Boards by integrating variant interpretation and biomarker estimation.

This paper presents a framework for integrating deep-learning models into the laboratory information system using open-source tools and HL7 standards to support clinical adoption in digital pathology.

This study identifies TACSTD2 as a marker of early colon adenoma transition through transcriptome and methylation analysis, with validation in human and mouse models.