Computational genomics tools for dissecting tumour-immune cell interactions

被引：222

作者：

Hackl, Hubert ^{[1
]}

Charoentong, Pornpimol ^{[1
]}

Finotello, Francesca ^{[1
]}

Trajanoski, Zlatko ^{[1
]}

机构：

[1] Med Univ Innsbruck, Bioctr, Div Bioinformat, Innrain 80-82, A-6020 Innsbruck, Austria

来源：

NATURE REVIEWS GENETICS | 2016年 / 17卷 / 08期

关键词：

SOMATIC POINT MUTATIONS; HIGH-THROUGHPUT; BINDING PEPTIDES; GENE-EXPRESSION; RNA-SEQ; EPITOPE PREDICTION; SEQUENCING DATA; T-LYMPHOCYTES; HLA TYPES; CANCER;

D O I：

10.1038/nrg.2016.67

中图分类号：

Q3 [遗传学];

学科分类号：

071007 [遗传学];

摘要：

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.

引用

页码：441 / 458

页数：18

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