Division of Bioinformatics, Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria.
Bioinformatics. 2017 Oct 1;33(19):3140-3141. doi: 10.1093/bioinformatics/btx377.
Recently, a number of powerful computational tools for dissecting tumor-immune cell interactions from next-generation sequencing data have been developed. However, the assembly of analytical pipelines and execution of multi-step workflows are laborious and involve a large number of intermediate steps with many dependencies and parameter settings. Here we present TIminer, an easy-to-use computational pipeline for mining tumor-immune cell interactions from next-generation sequencing data. TIminer enables integrative immunogenomic analyses, including: human leukocyte antigens typing, neoantigen prediction, characterization of immune infiltrates and quantification of tumor immunogenicity.
TIminer is freely available at http://icbi.i-med.ac.at/software/timiner/timiner.shtml.
zlatko.trajanoski@i-med.ac.at.
Supplementary data are available at Bioinformatics online.
最近，已经开发出许多用于从下一代测序数据中解析肿瘤免疫细胞相互作用的强大计算工具。然而，分析管道的组装和多步骤工作流程的执行都很繁琐，涉及许多具有许多依赖性和参数设置的中间步骤。在这里，我们提出了 TIminer，这是一种用于从下一代测序数据中挖掘肿瘤免疫细胞相互作用的易于使用的计算管道。TIminer 支持整合免疫基因组分析，包括：人类白细胞抗原分型、新抗原预测、免疫浸润特征描述和肿瘤免疫原性定量。
TIminer 可在 http://icbi.i-med.ac.at/software/timiner/timiner.shtml 免费获得。
zlatko.trajanoski@i-med.ac.at。
补充数据可在“Bioinformatics”在线获取。
