8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Optimizing Phylogenetic Queries for Performance

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references49

          • Record: found
          • Abstract: found
          • Article: found
          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.
            Bookmark
            • Record: found
            • Abstract: found
            • 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.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              BUCKy: gene tree/species tree reconciliation with Bayesian concordance analysis.

              BUCKy is a C++ program that implements Bayesian concordance analysis. The method uses a non-parametric clustering of genes with compatible trees, and reconstructs the primary concordance tree from clades supported by the largest proportions of genes. A population tree with branch lengths in coalescent units is estimated from quartet concordance factors. BUCKy is open source and distributed under the GNU general public license at www.stat.wisc.edu/∼ane/bucky/.
                Bookmark

                Author and article information

                Journal
                IEEE/ACM Transactions on Computational Biology and Bioinformatics
                IEEE/ACM Trans. Comput. Biol. and Bioinf.
                Institute of Electrical and Electronics Engineers (IEEE)
                1545-5963
                1557-9964
                2374-0043
                2018
                : 1
                Article
                10.1109/TCBB.2017.2743706
                d84288bf-f0d8-4114-b6dc-104b1d70d061
                © 2018
                History

                Comments

                Comment on this article