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TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data.
Chen, Chengjie; Chen, Hao; Zhang, Yi; Thomas, Hannah R; Frank, Margaret H; He, Yehua; Xia, Rui.
Afiliação
  • Chen C; State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, Guangdong 510640, China; Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, Guangdong 510640, China; Key Laborator
  • Chen H; Oilseed Crops Institute, Hunan Agricultural University, Changsha 410128, China.
  • Zhang Y; State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, Guangdong 510640, China; Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, Guangdong 510640, China; Key Laborator
  • Thomas HR; Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA.
  • Frank MH; Plant Biology Section, School of Integrative Plant Science, Cornell University, Ithaca, NY 14853, USA.
  • He Y; Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, Guangdong 510640, China; Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in South China, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guan
  • Xia R; State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, Guangdong 510640, China; Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, Guangdong 510640, China; Key Laborator
Mol Plant ; 13(8): 1194-1202, 2020 08 03.
Article em En | MEDLINE | ID: mdl-32585190
ABSTRACT
The 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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Big Data Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Biologia Computacional / Big Data Idioma: En Ano de publicação: 2020 Tipo de documento: Article