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Cancer immunotherapies are promising strategies for cancer treatment. However, their optimized use will require a comprehensive understanding of the diverse cell types, antigens and genetic variants (both germline and somatic) that comprise the tumour–immune system interface. This Review discusses various bioinformatics tools that process multi-level omics data for insights into tumour–immune cell interactions.
Computer simulation of next-generation sequencing data can be extremely useful for assessing and validating biological models, benchmarking sequence analysis tools or gaining an understanding of specific data sets. Here, the authors review the functionality, requirements and applications of 23 currently available simulation tools and provide a guide for the selection of the most appropriate one.
Considerable resources are required to gain maximal insights into the diverse big data sets in biomedicine. In this Review, the authors discuss how crowdsourcing, in the form of collaborative competitions (known as Challenges), can engage the scientific community to provide the diverse expertise and methodological approaches that can robustly address some of the most pressing questions in genetics, genomics and biomedical sciences.
Over the past few decades, epigenetics has evolved from a collection of curious biological phenomena to a functionally dissected research field. In this article, the authors provide a personal perspective on the advances of research into epigenetics — from its historical origins to its modern era — with a focus on molecular breakthroughs.
