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TBtools-II: A “one for all, all for one” bioinformatics platform for biological big-data mining 被引量:7
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作者 Chengjie Chen Ya Wu +8 位作者 Jiawei Li Xiao Wang Zaohai Zeng Jing Xu Yuanlong Liu Junting Feng Hao Chen yehua he Rui Xia 《Molecular Plant》 SCIE CSCD 2023年第11期1733-1742,共10页
Since the official release of the stand-alone bioinformatics toolkit TBtools in 2020,its superior functionality in data analysis has been demonstrated by its widespread adoption by many thousands of users and referenc... Since the official release of the stand-alone bioinformatics toolkit TBtools in 2020,its superior functionality in data analysis has been demonstrated by its widespread adoption by many thousands of users and references in more than 5000 academic articles.Now,TBtools is a commonly used tool in biological laboratories.Over the past 3 years,thanks to invaluable feedback and suggestions from numerous users,we have optimized and expanded the functionality of the toolkit,leading to the development of an upgraded version—TBtools-II.In this upgrade,we have incorporated over 100 new features,such as those for comparative genomics analysis,phylogenetic analysis,and data visualization.Meanwhile,to better meet the increasing needs of personalized data analysis,we have launched the plugin mode,which enables users to develop their own plugins and manage their selection,installation,and removal according to individual needs.To date,the plugin store has amassed over 50 plugins,with more than half of them being independently developed and contributed by TBtools users.These plugins offer a range of data analysis options including co-expression network analysis,single-cell data analysis,and bulked segregant analysis sequencing data analysis.Overall,TBtools is now transforming from a stand-alone software to a comprehensive bioinformatics platform of a vibrant and cooperative community in which users are also developers and contributors.By promoting the theme“one for all,all for one”,we believe that TBtools-II will greatly benefit more biological researchers in this big-data era. 展开更多
关键词 TBtools-ll PLUGIN biological big data BSA-seq
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TBtools: An Integrative Toolkit Developed for Interactive Analyses of Big Biological Data 被引量:910
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作者 Chengjie Chen Hao Chen +4 位作者 Yi Zhang Hannah R.Thomas Margaret H.Frank yehua he Rui Xia 《Molecular Plant》 SCIE CAS CSCD 2020年第8期1194-1202,共9页
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 challen... 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 userfriendly 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. 展开更多
关键词 TBtools BIOINFORMATICS big data data visulization gene family
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