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TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data

Open access
Chen, Chengjie, Chen, Hao, Zhang, Yi, Thomas, Hannah R., Frank, Margaret H., He, Yehua, Xia, Rui·2020·Molecular Plant

Published version of a preprint

Abstract

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 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, 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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Metadata

Authors
Chen, C., Chen, H., Zhang, Y., Thomas, H. R., Frank, M. H., He, Y., & Xia, R.
Venue
Molecular Plant
Publisher
Elsevier BV
Published
2020-08
Volume
13
Issue
8
Pages
1194-1202
ISSN
1674-2052 (ISSN-L)
OpenAlex
W3036319615
Cited by
14,517
References
22
FWCI
573.67
Type
journal article
Language
en
Open access
bronze
Licence
Funders
National Natural Science Foundation of China

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CoChat. (2026). Citation check: TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data. https://app.cochat.ai/papers/10.1016/j.molp.2020.06.009
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Chen, C., Chen, H., Zhang, Y., Thomas, H. R., Frank, M. H., He, Y., & Xia, R. (2020). TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data. Molecular Plant. https://doi.org/10.1016/j.molp.2020.06.009

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