生物
大数据
数据科学
计算机科学
计算生物学
数据挖掘
作者
Chengjie Chen,Hao Chen,Yi Zhang,Hannah Thomas,Margaret H. Frank,Yehua He,Rui Xia
出处
期刊:Molecular Plant
[Elsevier]
日期:2020-06-23
卷期号:13 (8): 1194-1202
被引量:9243
标识
DOI:10.1016/j.molp.2020.06.009
摘要
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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