TCRosetta: An Integrated Analysis and Annotation Platform for T-cell Receptor Sequences.

Tao Yue, Si-Yi Chen, Wen-Kang Shen, Zhan-Ye Zhang, Liming Cheng, An-Yuan Guo
{"title":"TCRosetta: An Integrated Analysis and Annotation Platform for T-cell Receptor Sequences.","authors":"Tao Yue, Si-Yi Chen, Wen-Kang Shen, Zhan-Ye Zhang, Liming Cheng, An-Yuan Guo","doi":"10.1093/gpbjnl/qzae013","DOIUrl":null,"url":null,"abstract":"<p><p>T cells and T-cell receptors (TCRs) are essential components of the adaptive immune system. Characterization of the TCR repertoire offers a promising and highly informative source for understanding the functions of T cells in the immune response and immunotherapy. Although TCR repertoire studies have attracted much attention, there are few online servers available for TCR repertoire analysis, especially for TCR sequence annotation or advanced analyses. Therefore, we developed TCRosetta, a comprehensive online server that integrates analytical methods for TCR repertoire analysis and visualization. TCRosetta combines general feature analysis, large-scale sequence clustering, network construction, peptide-TCR binding prediction, generation probability calculation, and k-mer motif analysis for TCR sequences, making TCR data analysis as simple as possible. The TCRosetta server accepts multiple input data formats and can analyze ∼ 20,000 TCR sequences in less than 3 min. TCRosetta is the most comprehensive web server available for TCR repertoire analysis and is freely available at https://guolab.wchscu.cn/TCRosetta/.</p>","PeriodicalId":94020,"journal":{"name":"Genomics, proteomics & bioinformatics","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Genomics, proteomics & bioinformatics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/gpbjnl/qzae013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

T cells and T-cell receptors (TCRs) are essential components of the adaptive immune system. Characterization of the TCR repertoire offers a promising and highly informative source for understanding the functions of T cells in the immune response and immunotherapy. Although TCR repertoire studies have attracted much attention, there are few online servers available for TCR repertoire analysis, especially for TCR sequence annotation or advanced analyses. Therefore, we developed TCRosetta, a comprehensive online server that integrates analytical methods for TCR repertoire analysis and visualization. TCRosetta combines general feature analysis, large-scale sequence clustering, network construction, peptide-TCR binding prediction, generation probability calculation, and k-mer motif analysis for TCR sequences, making TCR data analysis as simple as possible. The TCRosetta server accepts multiple input data formats and can analyze ∼ 20,000 TCR sequences in less than 3 min. TCRosetta is the most comprehensive web server available for TCR repertoire analysis and is freely available at https://guolab.wchscu.cn/TCRosetta/.

TCRosetta:T 细胞受体序列的综合分析和注释平台。
T 细胞和 T 细胞受体 (TCR) 是适应性免疫系统的重要组成部分。TCR 复合物的特征为了解 T 细胞在免疫反应和免疫疗法中的功能提供了一个前景广阔、信息量大的来源。尽管 TCR 复合物研究已引起了广泛关注,但用于 TCR 复合物分析的在线服务器却很少,尤其是用于 TCR 序列注释或高级分析的服务器。因此,我们开发了 TCRosetta,这是一个综合在线服务器,集成了 TCR 复合物分析和可视化的分析方法。TCRosetta 结合了 TCR 序列的一般特征分析、大规模序列聚类、网络构建、多肽-TCR 结合预测、生成概率计算和 k-mer 主题分析,使 TCR 数据分析变得尽可能简单。TCRosetta 服务器接受多种输入数据格式,可在三分钟内分析 20,000 个 TCR 序列。TCRosetta 是目前最全面的 TCR 序列分析网络服务器,可通过 http://bioinfo.life.hust.edu.cn/TCRosetta/ 或 https://guolab.wchscu.cn/TCRosetta/ 免费获取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信