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      Evolview v2: an online visualization and management tool for customized and annotated phylogenetic trees

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          Abstract

          Evolview is an online visualization and management tool for customized and annotated phylogenetic trees. It allows users to visualize phylogenetic trees in various formats, customize the trees through built-in functions and user-supplied datasets and export the customization results to publication-ready figures. Its ‘dataset system’ contains not only the data to be visualized on the tree, but also ‘modifiers’ that control various aspects of the graphical annotation. Evolview is a single-page application (like Gmail); its carefully designed interface allows users to upload, visualize, manipulate and manage trees and datasets all in a single webpage. Developments since the last public release include a modern dataset editor with keyword highlighting functionality, seven newly added types of annotation datasets, collaboration support that allows users to share their trees and datasets and various improvements of the web interface and performance. In addition, we included eleven new ‘Demo’ trees to demonstrate the basic functionalities of Evolview, and five new ‘Showcase’ trees inspired by publications to showcase the power of Evolview in producing publication-ready figures. Evolview is freely available at: http://www.evolgenius.info/evolview/.

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          • Record: found
          • Abstract: found
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          Is Open Access

          EvolView, an online tool for visualizing, annotating and managing phylogenetic trees

          EvolView is a web application for visualizing, annotating and managing phylogenetic trees. First, EvolView is a phylogenetic tree viewer and customization tool; it visualizes trees in various formats, customizes them through built-in functions that can link information from external datasets, and exports the customized results to publication-ready figures. Second, EvolView is a tree and dataset management tool: users can easily organize related trees into distinct projects, add new datasets to trees and edit and manage existing trees and datasets. To make EvolView easy to use, it is equipped with an intuitive user interface. With a free account, users can save data and manipulations on the EvolView server. EvolView is freely available at: http://www.evolgenius.info/evolview.html.
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            • Record: found
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            • Article: found
            Is Open Access

            T-REX: a web server for inferring, validating and visualizing phylogenetic trees and networks

            T-REX (Tree and reticulogram REConstruction) is a web server dedicated to the reconstruction of phylogenetic trees, reticulation networks and to the inference of horizontal gene transfer (HGT) events. T-REX includes several popular bioinformatics applications such as MUSCLE, MAFFT, Neighbor Joining, NINJA, BioNJ, PhyML, RAxML, random phylogenetic tree generator and some well-known sequence-to-distance transformation models. It also comprises fast and effective methods for inferring phylogenetic trees from complete and incomplete distance matrices as well as for reconstructing reticulograms and HGT networks, including the detection and validation of complete and partial gene transfers, inference of consensus HGT scenarios and interactive HGT identification, developed by the authors. The included methods allows for validating and visualizing phylogenetic trees and networks which can be built from distance or sequence data. The web server is available at: www.trex.uqam.ca.
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              Gene transfer from bacteria and archaea facilitated evolution of an extremophilic eukaryote.

              Some microbial eukaryotes, such as the extremophilic red alga Galdieria sulphuraria, live in hot, toxic metal-rich, acidic environments. To elucidate the underlying molecular mechanisms of adaptation, we sequenced the 13.7-megabase genome of G. sulphuraria. This alga shows an enormous metabolic flexibility, growing either photoautotrophically or heterotrophically on more than 50 carbon sources. Environmental adaptation seems to have been facilitated by horizontal gene transfer from various bacteria and archaea, often followed by gene family expansion. At least 5% of protein-coding genes of G. sulphuraria were probably acquired horizontally. These proteins are involved in ecologically important processes ranging from heavy-metal detoxification to glycerol uptake and metabolism. Thus, our findings show that a pan-domain gene pool has facilitated environmental adaptation in this unicellular eukaryote.
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                Author and article information

                Journal
                Nucleic Acids Res
                Nucleic Acids Res
                nar
                nar
                Nucleic Acids Research
                Oxford University Press
                0305-1048
                1362-4962
                08 July 2016
                30 April 2016
                30 April 2016
                : 44
                : Web Server issue
                : W236-W241
                Affiliations
                [1 ]CAS Key Laboratory of Genome Sciences and Information, Beijing Institute of Genomics (BIG), Chinese Academy of Sciences (CAS), No.7 Beitucheng West Road, Chaoyang District, 100029 Beijing, PR China
                [2 ]University of Chinese Academy of Sciences, Beijing 100049, China
                [3 ]Institute for Computer Science and Cluster of Excellence on Plant Sciences CEPLAS, Heinrich Heine University, 40225 Düsseldorf, Germany
                [4 ]BIG Data Center, Beijing Institute of Genomics (BIG), Chinese Academy of Sciences (CAS), No.7 Beitucheng West Road, Chaoyang District, 100029 Beijing, PR China
                Author notes
                [* ]To whom correspondence should be addressed. Tel: +86 108 299 5362; Fax: +86 108 299 5373; Email: chenwh550@ 123456gmail.com
                Correspondence may also be addressed to Songnian Hu. Tel: +86 108 299 5362; Fax: +86 108 299 5373; Email: husn@ 123456big.ac.cn
                Article
                10.1093/nar/gkw370
                4987921
                27131786
                e8812809-7f4c-45b3-a7e8-f93ebb4b98b4
                © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@ 123456oup.com

                History
                : 23 April 2016
                : 22 April 2016
                : 22 February 2016
                Page count
                Pages: 6
                Categories
                Web Server issue
                Custom metadata
                08 July 2016

                Genetics
                Genetics

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