Literature DB >> 32585190

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

Chengjie Chen1, Hao Chen2, Yi Zhang1, Hannah R Thomas3, Margaret H Frank3, Yehua He4, Rui Xia5.   

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.
Copyright © 2020 The Author. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  TBtools; big data; bioinformatics; data visulization; gene family

Mesh:

Year:  2020        PMID: 32585190     DOI: 10.1016/j.molp.2020.06.009

Source DB:  PubMed          Journal:  Mol Plant        ISSN: 1674-2052            Impact factor:   13.164


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