Literature DB >> 27376489

Computational genomics tools for dissecting tumour-immune cell interactions.

Hubert Hackl1, Pornpimol Charoentong1, Francesca Finotello1, Zlatko Trajanoski1.   

Abstract

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.

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Year:  2016        PMID: 27376489     DOI: 10.1038/nrg.2016.67

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  163 in total

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  105 in total

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Review 7.  Computational approaches for characterizing the tumor immune microenvironment.

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Review 8.  Update on Tumor Neoantigens and Their Utility: Why It Is Good to Be Different.

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Review 9.  Tumour heterogeneity and metastasis at single-cell resolution.

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