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TBtools-II: A "one for all, all for one" bioinformatics platform for biological big-data mining
Chengjie Chen1, Ya Wu2, Jiawei Li3
1State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, College of Horticulture, South China Agricultural University, Guangzhou, Guangdong 510640, China; Key Laboratory of Biology and Germplasm Enhancement of Horticultural Crops in South China, Ministry of Agriculture and Rural Affair, South China Agricultural University, Guangzhou, Guangdong 510640, China; Guangdong Laboratory for Lingnan Modern Agriculture, South China Agricultural University, Guangzhou, Guangdong 510640, China.
The upgraded bioinformatics toolkit TBtools-II now offers over 100 new features and a plugin mode for personalized data analysis. This enhancement transforms TBtools into a comprehensive bioinformatics platform, benefiting biological researchers.
Area of Science:
- Bioinformatics
- Computational Biology
- Genomics
Background:
- The original TBtools software, released in 2020, gained widespread adoption in biological research.
- It has been cited in over 5000 academic articles, highlighting its utility in data analysis.
Purpose of the Study:
- To introduce TBtools-II, an upgraded version of the bioinformatics toolkit.
- To enhance functionality based on user feedback and expand its capabilities for biological data analysis.
Main Methods:
- Incorporation of over 100 new features for comparative genomics, phylogenetic analysis, and data visualization.
- Introduction of a plugin mode allowing users to develop and manage custom analysis tools.
- Development of a plugin store with over 50 user-contributed plugins for specialized analyses.
Main Results:
- TBtools-II now supports personalized data analysis through its flexible plugin system.
- The plugin store offers diverse options, including co-expression network analysis, single-cell data analysis, and bulked segregant analysis.
- The toolkit has evolved into a comprehensive bioinformatics platform fostering a collaborative community.
Conclusions:
- TBtools-II represents a significant advancement, transitioning from standalone software to a cooperative bioinformatics platform.
- The platform's community-driven development model, exemplified by user-contributed plugins, enhances its utility for big-data research.
- TBtools-II is poised to greatly benefit biological researchers in the era of big data.
