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      Comprehensive analysis of SSRs and database construction using all complete gene-coding sequences in major horticultural and representative plants

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          Abstract

          Simple sequence repeats (SSRs) are one of the most important genetic markers and widely exist in most species. Here, we identified 249,822 SSRs from 3,951,919 genes in 112 plants. Then, we conducted a comprehensive analysis of these SSRs and constructed a plant SSR database (PSSRD). Interestingly, more SSRs were found in lower plants than in higher plants, showing that lower plants needed to adapt to early extreme environments. Four specific enriched functional terms in the lower plant Chlamydomonas reinhardtii were detected when it was compared with seven other higher plants. In addition, Guanylate_cyc existed in more genes of lower plants than of higher plants. In our PSSRD, we constructed an interactive plotting function in the chart interface, and users can easily view the detailed information of SSRs. All SSR information, including sequences, primers, and annotations, can be downloaded from our database. Moreover, we developed Web SSR Finder and Batch SSR Finder tools, which can be easily used for identifying SSRs. Our database was developed using PHP, HTML, JavaScript, and MySQL, which are freely available at http://www.pssrd.info/. We conducted an analysis of the Myb gene families and flowering genes as two applications of the PSSRD. Further analysis indicated that whole-genome duplication and whole-genome triplication played a major role in the expansion of the Myb gene families. These SSR markers in our database will greatly facilitate comparative genomics and functional genomics studies in the future.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            SciPy 1.0: fundamental algorithms for scientific computing in Python

            SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, with over 600 unique code contributors, thousands of dependent packages, over 100,000 dependent repositories and millions of downloads per year. In this work, we provide an overview of the capabilities and development practices of SciPy 1.0 and highlight some recent technical developments.
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              TBtools - an integrative toolkit developed for interactive analyses of big biological data

              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.
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                Author and article information

                Contributors
                songxm@ncst.edu.cn
                maxiaoxiaos@sina.com
                Journal
                Hortic Res
                Hortic Res
                Horticulture Research
                Nature Publishing Group UK (London )
                2662-6810
                2052-7276
                1 June 2021
                1 June 2021
                2021
                : 8
                : 122
                Affiliations
                [1 ]GRID grid.440734.0, ISNI 0000 0001 0707 0296, School of Life Sciences/Library, , North China University of Science and Technology, ; Tangshan, Hebei 063210 China
                [2 ]GRID grid.54549.39, ISNI 0000 0004 0369 4060, School of Life Science and Technology and Center for Informational Biology, , University of Electronic Science and Technology of China, ; 610054 Chengdu, China
                [3 ]GRID grid.24434.35, ISNI 0000 0004 1937 0060, Food Science and Technology Department, , University of Nebraska-Lincoln, ; Lincoln, NE 68588 USA
                [4 ]GRID grid.417678.b, ISNI 0000 0004 1800 1941, College of Life Sciences and Food Engineering, , Huaiyin Institute of Technology, ; 223003 Huai’an, China
                Article
                562
                10.1038/s41438-021-00562-7
                8167114
                34059664
                b130a4de-01d5-4e7a-9cfc-613d00eff753
                © The Author(s) 2021

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 18 September 2020
                : 10 February 2021
                : 14 March 2021
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                Custom metadata
                © The Author(s) 2021

                genetic markers,evolutionary biology,genome
                genetic markers, evolutionary biology, genome

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