Somatic mutations in cancer cells can generate tumour-specific neoepitopes, which are
recognized by autologous T cells in the host. As neoepitopes are not subject to central …

Over the past two decades, elucidation of the genetic defects that underlie cancer has
resulted in a plethora of novel targeted cancer drugs. Although these agents can initially be …

Abstract Ensembl (https://www. ensembl. org) has produced high-quality genomic resources
for vertebrates and model organisms for more than twenty years. During that time, our …

Enhanced glycolysis and accumulation of lactate is a common feature in various types of
cancer. Intracellular lactate drives a recently described type of posttranslational modification …

Deep learning is a subdiscipline of artificial intelligence that uses a machine learning
technique called artificial neural networks to extract patterns and make predictions from …

Whole-genome sequencing (WGS) permits comprehensive cancer genome analyses,
revealing mutational signatures, imprints of DNA damage, and repair processes that have …

Although p53 inactivation promotes genomic instability and presents a route to malignancy
for more than half of all human cancers,, the patterns through which heterogenous TP53 …

Mutations in cancer-associated genes drive tumour outgrowth, but our knowledge of the
timing of driver mutations and subsequent clonal dynamics is limited,–. Here, using whole …

BACKGROUND Historical accounts linking cancer and microbes date as early as four
millennia ago. After establishment of the germ theory of infectious diseases, clinical research …

Acute lymphoblastic leukemia (ALL) is the most common childhood cancer. Here, using
whole-genome, exome and transcriptome sequencing of 2,754 childhood patients with ALL …