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      Osiris: accessible and reproducible phylogenetic and phylogenomic analyses within the Galaxy workflow management system

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          Abstract

          Background

          Phylogenetic tools and ‘tree-thinking’ approaches increasingly permeate all biological research. At the same time, phylogenetic data sets are expanding at breakneck pace, facilitated by increasingly economical sequencing technologies. Therefore, there is an urgent need for accessible, modular, and sharable tools for phylogenetic analysis.

          Results

          We developed a suite of wrappers for new and existing phylogenetics tools for the Galaxy workflow management system that we call Osiris. Osiris and Galaxy provide a sharable, standardized, modular user interface, and the ability to easily create complex workflows using a graphical interface. Osiris enables all aspects of phylogenetic analysis within Galaxy, including de novo assembly of high throughput sequencing reads, ortholog identification, multiple sequence alignment, concatenation, phylogenetic tree estimation, and post-tree comparative analysis. The open source files are available on in the Bitbucket public repository and many of the tools are demonstrated on a public web server ( http://galaxy-dev.cnsi.ucsb.edu/osiris/).

          Conclusions

          Osiris can serve as a foundation for other phylogenomic and phylogenetic tool development within the Galaxy platform.

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          Most cited references18

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          ProtTest: selection of best-fit models of protein evolution.

          Using an appropriate model of amino acid replacement is very important for the study of protein evolution and phylogenetic inference. We have built a tool for the selection of the best-fit model of evolution, among a set of candidate models, for a given protein sequence alignment. ProtTest is available under the GNU license from http://darwin.uvigo.es
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            Phyutility: a phyloinformatics tool for trees, alignments and molecular data.

            Phyutility provides a set of phyloinformatics tools for summarizing and manipulating phylogenetic trees, manipulating molecular data and retrieving data from NCBI. Its simple command-line interface allows for easy integration into scripted analyses, and is able to handle large datasets with an integrated database. Phyutility, including source code, documentation, examples, and executables, is available at http://code.google.com/p/phyutility.
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              Performance, Accuracy, and Web Server for Evolutionary Placement of Short Sequence Reads under Maximum Likelihood

              We present an evolutionary placement algorithm (EPA) and a Web server for the rapid assignment of sequence fragments (short reads) to edges of a given phylogenetic tree under the maximum-likelihood model. The accuracy of the algorithm is evaluated on several real-world data sets and compared with placement by pair-wise sequence comparison, using edit distances and BLAST. We introduce a slow and accurate as well as a fast and less accurate placement algorithm. For the slow algorithm, we develop additional heuristic techniques that yield almost the same run times as the fast version with only a small loss of accuracy. When those additional heuristics are employed, the run time of the more accurate algorithm is comparable with that of a simple BLAST search for data sets with a high number of short query sequences. Moreover, the accuracy of the EPA is significantly higher, in particular when the sample of taxa in the reference topology is sparse or inadequate. Our algorithm, which has been integrated into RAxML, therefore provides an equally fast but more accurate alternative to BLAST for tree-based inference of the evolutionary origin and composition of short sequence reads. We are also actively developing a Web server that offers a freely available service for computing read placements on trees using the EPA.
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                Author and article information

                Contributors
                Journal
                BMC Bioinformatics
                BMC Bioinformatics
                BMC Bioinformatics
                BioMed Central
                1471-2105
                2014
                2 July 2014
                : 15
                : 230
                Affiliations
                [1 ]Ecology, Evolution, and Marine Biology, University of California-Santa Barbara, Santa Barbara, CA 93106, USA
                Article
                1471-2105-15-230
                10.1186/1471-2105-15-230
                4227113
                24990571
                8a33ed6a-b897-4ca5-a775-3093d99f047b
                Copyright © 2014 Oakley et al.; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 1 December 2013
                : 29 April 2014
                Categories
                Software

                Bioinformatics & Computational biology
                phylogenomics,phylogenetics,galaxy,orthology,assembly,next-generation sequence analysis,sequence alignment,tree estimation

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