TBtools - an integrative toolkit developed for interactive analyses of big biological data
Chengjie Chen, Hao Chen, Yi Zhang, Hannah Rae Thomas, Margaret H. Frank, Yehua He, Rui Xia
South China Agricultural University Hunan Agricultural University Cornell University
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The rapid development of high-throughput sequencing (HTS) 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 T oolkit for B iologists integrating various biological data handling tools ), a stand-alone software with a user-friendly interface. The toolkit incorporates over 100 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, with a new plotting engine (“JIGplot”) developed to maximum their interactive ability, which allows quick point-and-click modification to almost every graphic feature. TBtools is a 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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生物医学Genomics and Phylogenetic Studies
Bioinformatics and Genomic Networks · Gene expression and cancer classification
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