Oriol Pich

TL;DR: The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

TL;DR: This Review provides a brief historical perspective of the role of cancer genes before presenting the Integrative OncoGenomics (IntOGen) platform, a bioinformatics method of mutational driver identification, which is beginning to reveal the compendium of driver genes across many tumour types as well as alluding to their tumorigenic mechanisms.

TL;DR: This study provides a national-scale analysis of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) superspreading during the first wave of infections in Austria, a country that played a major role in initial virus transmissions in Europe.

TL;DR: Analysis of whole-genome sequences from more than 3,500 metastatic tumors identifies mutational signatures associated with different chemotherapies and provides estimates of the relative contribution of different treatments to tumor mutational burden.

TL;DR: The authors develop ActivePathways method, which uses data fusion techniques for integrative pathway analysis of multi-omics data and candidate gene discovery that discovers significantly enriched pathways across multiple datasets using statistical data fusion.