Catherine Voegele

A multi-omic, spatial, and whole-slide image dataset of lung neuroendocrine tumours from the lungNENomics cohort

The paper presents a large multi-omic dataset of lung neuroendocrine tumours, including genomics, transcriptomics, methylation, spatial proteomics, and histopathology, enabling comprehensive molecular and morphological analysis.

A molecular phenotypic map of Malignant Pleural Mesothelioma

This paper presents a comprehensive molecular characterization of Malignant Pleural Mesothelioma using multi-omics data from 120 patients, integrating with existing datasets to create an interactive molecular phenotype map.

Genetic analysis of lung cancer reveals novel susceptibility loci and germline impact on somatic mutation burden

This study identifies eight novel lung cancer susceptibility loci and shows that germline variants related to smoking and DNA repair influence somatic mutation burden in lung tumors.

Needlestack: an ultra-sensitive variant caller for multi-sample next generation sequencing data

Needlestack is a variant caller that improves sensitivity for low abundance mutations by learning sequencing error rates from multi-sample data.