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.

Keywords

Computer scienceSoftwareJavaBig dataVisualizationVariety (cybernetics)Interface (matter)Application programming interfaceBiological dataData visualizationData typeSoftware engineeringData scienceOperating systemWorld Wide WebData miningBioinformaticsBiologyArtificial intelligence

MeSH Terms

Big DataComputational BiologySoftware

Affiliated Institutions

Related Publications

Publication Info

Year
2020
Type
article
Volume
13
Issue
8
Pages
1194-1202
Citations
14052
Access
Closed

Social Impact

Social media, news, blog, policy document mentions

Citation Metrics

14052
OpenAlex
1154
Influential
11043
CrossRef

Cite This

Chengjie Chen, Hao Chen, Yi Zhang et al. (2020). TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data. Molecular Plant , 13 (8) , 1194-1202. https://doi.org/10.1016/j.molp.2020.06.009

Identifiers

DOI
10.1016/j.molp.2020.06.009
PMID
32585190

Data Quality

Data completeness: 90%