Subclonal reconstruction from bulk tumor DNA sequencing has become a pillar of cancer
evolution studies, providing insight into the clonality and relative ordering of mutations and …

Distilling biologically meaningful information from cancer genome sequencing data requires
comprehensive identification of somatic alterations using rigorous computational methods …

Many approaches to identify therapeutically relevant neoantigens couple tumor sequencing
with bioinformatic algorithms and inferred rules of tumor epitope immunogenicity. However …

Background & Aims Intratumor molecular heterogeneity is a key feature of tumorigenesis
and is linked to treatment failure and patient prognosis. Herein, we aimed to determine what …

Intra-tumor heterogeneity (ITH) is a mechanism of therapeutic resistance and therefore an
important clinical challenge. However, the extent, origin, and drivers of ITH across cancer …

Summary The precisionFDA Truth Challenge V2 aimed to assess the state of the art of
variant calling in challenging genomic regions. Starting with FASTQs, 20 challenge …

Most cancer genomic data are generated from bulk samples composed of mixtures of cancer
subpopulations, as well as normal cells. Subclonal reconstruction methods based on …

Glioblastoma progression in its early stages remains poorly understood. Here, we transfer
PDGFB and genetic barcodes in mouse brain to initiate gliomagenesis and enable direct …

Simple Summary Most malignant tumours are highly heterogeneous at molecular and
phenotypic levels. Tumour variability poses challenges for the management of patients, as it …

Survival rates of cancer patients vary widely within and between malignancies. While
genetic aberrations are at the root of all cancers, individual genomic features cannot explain …