作者： Chen, Chengjie;Chen, Hao;Zhang, Yi;Thomas, Hannah R.;Frank, Margaret H.;...

期刊： 分子植物,2020年13(8):1194-1202 ISSN：1674-2052

通讯作者： Xia, Rui

作者机构： [Chen, Chengjie; Xia, Rui; Zhang, Yi] South China Agr Univ, State Key Lab Conservat & Utilizat Subtrop Agrobi, Guangzhou 510640, Guangdong, Peoples R China.;[Chen, Chengjie; Xia, Rui; Zhang, Yi; He, Yehua] South China Agr Univ, Guangdong Lab Lingnan Modern Agr, Guangzhou 510640, Guangdong, Peoples R China.;[Chen, Chengjie; Xia, Rui; Zhang, Yi; He, Yehua] South China Agr Univ, Key Lab Biol & Germplasm Enhancement Hort Crops S, Minist Agr & Rural Affair, Guangzhou 510640, Peoples R China.;[Chen, Chengjie; Xia, Rui; Zhang, Yi; He, Yehua] South China Agr Univ, Coll Hort, Guangzhou 510640, Guangdong, Peoples R China.;[Chen, Hao] Hunan Agr Univ, Oilseed Crops Inst, Changsha 410128, Peoples R China.

通讯机构： [Xia, Rui] S;South China Agr Univ, State Key Lab Conservat & Utilizat Subtrop Agrobi, Guangzhou 510640, Guangdong, Peoples R China.;South China Agr Univ, Guangdong Lab Lingnan Modern Agr, Guangzhou 510640, Guangdong, Peoples R China.;South China Agr Univ, Key Lab Biol & Germplasm Enhancement Hort Crops S, Minist Agr & Rural Affair, Guangzhou 510640, Peoples R China.;South China Agr Univ, Coll Hort, Guangzhou 510640, Guangdong, Peoples R China.

关键词： TBtools;bioinformatics;big data;data visulization;gene family

摘要： TBtools, a stand-alone bioinformatics software with a user-friendly interface is presented in this study. The toolkit incorporates over 130 functions, which are designed to meet the increasing demand for big-data analyses, ranging from bulk sequence processing to interactive data visualization. Its robustness has been validated by tens of thousands of users, making it a handy and useful toolkit for biologists. © 2020 The AuthorThe rapid development of high-throughput sequencing techniques has led biology into the big-data era. Data analyses using various bioinformatics tools rely on programming and command-line environments, which are challenging and time-consuming for most wet-lab biologists. Here, we present TBtools (a Toolkit for Biologists integrating various biological data-handling tools), a stand-alone software with a user-friendly interface. The toolkit incorporates over 130 functions, which are designed to meet the increasing demand for big-data analyses, ranging from bulk sequence processing to interactive data visualization. A wide variety of graphs can be prepared in TBtools using a new plotting engine (“JIGplot”) developed to maximize their interactive ability; this engine allows quick point-and-click modification of almost every graphic feature. TBtools is platform-independent software that can be run under all operating systems with Java Runtime Environment 1.6 or newer. It is freely available to non-commercial users at https://github.com/CJ-Chen/TBtools/releases. © 2020 The Author

语种： 英文