Suppr超能文献

TIminer:用于癌症免疫和免疫治疗的 NGS 数据挖掘管道。

TIminer: NGS data mining pipeline for cancer immunology and immunotherapy.

机构信息

Division of Bioinformatics, Biocenter, Medical University of Innsbruck, 6020 Innsbruck, Austria.

出版信息

Bioinformatics. 2017 Oct 1;33(19):3140-3141. doi: 10.1093/bioinformatics/btx377.

Abstract

SUMMARY

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.

AVAILABILITY AND IMPLEMENTATION

TIminer is freely available at http://icbi.i-med.ac.at/software/timiner/timiner.shtml.

CONTACT

zlatko.trajanoski@i-med.ac.at.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

摘要

摘要

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。

可用性和实现

TIminer 可在 http://icbi.i-med.ac.at/software/timiner/timiner.shtml 免费获得。

联系方式

zlatko.trajanoski@i-med.ac.at

补充信息

补充数据可在“Bioinformatics”在线获取。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e661/5870678/4fd252b69fdc/btx377f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验