Division of Bioinformatics, Biocenter, Medical University of Innsbruck, Innrain 80-82, 6020 Innsbruck, Austria.
Nat Rev Genet. 2016 Jul 4;17(8):441-58. doi: 10.1038/nrg.2016.67.
Recent breakthroughs in cancer immunotherapy and decreasing costs of high-throughput technologies have sparked intensive research into tumour-immune cell interactions using genomic tools. The wealth of the generated data and the added complexity pose considerable challenges and require computational tools to process, to analyse and to visualize the data. Recently, various tools have been developed and used to mine tumour immunologic and genomic data effectively and to provide novel mechanistic insights. Here, we review computational genomics tools for cancer immunology and provide information on the requirements and functionality in order to assist in the selection of tools and assembly of analytical pipelines.
近年来，癌症免疫疗法的突破和高通量技术成本的降低，激发了利用基因组工具研究肿瘤免疫细胞相互作用的热潮。大量生成的数据和增加的复杂性带来了相当大的挑战，需要计算工具来处理、分析和可视化这些数据。最近，已经开发并使用了各种工具来有效地挖掘肿瘤免疫和基因组数据，并提供新的机制见解。在这里，我们回顾了癌症免疫学的计算基因组学工具，并提供了有关要求和功能的信息，以帮助选择工具和组装分析管道。
