Journal
MOLECULAR PLANT
Volume 13, Issue 8, Pages 1194-1202Publisher
CELL PRESS
DOI: 10.1016/j.molp.2020.06.009
Keywords
TBtools; bioinformatics; big data; data visulization; gene family
Categories
Funding
- National Key Research and Developmental Program of China [2018YFD1000104, 2017YFD0101702, 2018YFD1000500, 2019YFD1000500]
- National Science Foundation of China [31872063]
- Special Support Program of Guangdong Province [2019TX05N193]
- Key-Area Research and Development Program of Guangdong Province [2018B020202011]
- Guangzhou Science and Technology Key Project [201804020063]
- NSF Faculty Early Career Development Program [IOS-1942437]
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available