Literature DB >> 22543367

Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data.

Matthew Kearse1, Richard Moir, Amy Wilson, Steven Stones-Havas, Matthew Cheung, Shane Sturrock, Simon Buxton, Alex Cooper, Sidney Markowitz, Chris Duran, Tobias Thierer, Bruce Ashton, Peter Meintjes, Alexei Drummond.   

Abstract

UNLABELLED: The two main functions of bioinformatics are the organization and analysis of biological data using computational resources. Geneious Basic has been designed to be an easy-to-use and flexible desktop software application framework for the organization and analysis of biological data, with a focus on molecular sequences and related data types. It integrates numerous industry-standard discovery analysis tools, with interactive visualizations to generate publication-ready images. One key contribution to researchers in the life sciences is the Geneious public application programming interface (API) that affords the ability to leverage the existing framework of the Geneious Basic software platform for virtually unlimited extension and customization. The result is an increase in the speed and quality of development of computation tools for the life sciences, due to the functionality and graphical user interface available to the developer through the public API. Geneious Basic represents an ideal platform for the bioinformatics community to leverage existing components and to integrate their own specific requirements for the discovery, analysis and visualization of biological data.
AVAILABILITY AND IMPLEMENTATION: Binaries and public API freely available for download at http://www.geneious.com/basic, implemented in Java and supported on Linux, Apple OSX and MS Windows. The software is also available from the Bio-Linux package repository at http://nebc.nerc.ac.uk/news/geneiousonbl.

Entities:  

Mesh:

Year:  2012        PMID: 22543367      PMCID: PMC3371832          DOI: 10.1093/bioinformatics/bts199

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


1 INTRODUCTION

Research in the biosciences increasingly depends upon bioinformatics for the effective organization and analysis of biological data and experimental results. Having access to the appropriate bioinformatics tools is crucial to the success of any research project. The field of bioinformatics itself has previously been segregated into the parallel realms of data organization (databases, access, integration, web services and search tools) and data analysis (efficient algorithms and statistical modeling). As a result, a large proportion of bioinformatics work involves the chaperoning of data from a variety of sources through a pipeline of analysis tools. This approach typically involves a number of ad hoc labor-intensive steps to convert file formats and create transitional file types. Geneious Basic was created to provide a general framework for research-focused bioinformatics tasks to overcome these challenges and take advantage of modern computing trends. Highlights of the platform include automated database searching, data backup functionality and an extensible API for the integration of novel bioinformatics analysis tools.

2 METHODS

Geneious Basic is written in Java Swing to maximize interoperability among all commonly used operating systems. It is compiled under and requires Java 5 to run. The application provides core modules to enable the visualization, manipulation and transfer of DNA sequences (linear, circular and short oligos such as primers and probes), amino acid sequences, pair-wise and multiple alignments, phylogenetic trees, 3D structures, sequence chromatograms, contig assemblies, microsatellite electropherograms and statistical graphs. The underlying software framework for Geneious Basic is modular and multi-tiered with a focus on handling bioinformatics data and tools (Fig. 1). It integrates a comprehensive plugin system which is grounded in the extensible Geneious API. The public API component allows plugin developers to leverage the functionality and user interface of the Geneious platform while concentrating on the development of processes and algorithms. The API download from the Geneious website provides a number of skeleton plugin examples to use as a basis for new plugins, allowing developers with a basic level of Java knowledge to develop fully functional plugins that greatly extend the functionality of Geneious Basic.
Fig. 1.

Modular overview of the Geneious Basic software stack. Top-most modules have dependencies on lower modules. The unshaded modules represent the publicly accessible modules for plugin development.

Modular overview of the Geneious Basic software stack. Top-most modules have dependencies on lower modules. The unshaded modules represent the publicly accessible modules for plugin development. The public API allows developers to leverage online sequence search web services such as NCBI BLAST. Also using the public API, developers can implement plugins that exploit external binaries and even online computational resources, a growing trend in the field of Bioinformatics (Schatz ).

3 RESULTS

The Geneious Basic graphical user interface comprises of three main panels, a variety of pull-down menus and many right-click functions for common bioinformatics analyses. Geneious Basic displays selected file(s) in a variety of different ways including sequence view (linear and circular), dotplot view, query-centric alignment view, protein domain view, 3D structure view, text view and notes. A number of analysis algorithms are implemented within Geneious Basic. For a given document, the user can select from among the appropriate analysis tools to process the data; for example, in the case of a sequence document, the user may choose to perform a BLAST (Altschul ) search for a given query sequence against a specific online repository, align against other sequences or generate protein translations. The combinations of available tools and document types allow for the implementation of complex workflows in a single, consistent environment (Fig. 2).
Fig. 2.

The phylogenetic tree showing the relationship of a MT-CO1 sequence from an unknown source with similar public sequence. Sequences were identified from Genbank using BLAST. Sequences were downloaded then aligned using the Geneious Aligner and a phylogenetic tree built using PhyML. All of these steps were performed within Geneious Basic.

The phylogenetic tree showing the relationship of a MT-CO1 sequence from an unknown source with similar public sequence. Sequences were identified from Genbank using BLAST. Sequences were downloaded then aligned using the Geneious Aligner and a phylogenetic tree built using PhyML. All of these steps were performed within Geneious Basic. Geneious Basic has an active community of plugin developers, using the public API to contribute third-party plugins and additional functionality within Geneious. The Species Delimitation Plugin, a plugin for summarizing measures of phylogenetic support for user-selected collections of taxa on user-supplied trees (Masters ), is one example of scientific research leveraging the Geneious public API for publishable academic research. At the time of the writing of this manuscript, there were nine available plugins for Geneious Basic (Table 1), from plugins wrapping industry standard tools such as Phobos Tandem Repeat Finder (Mayer 2006–2010) to tools that exploit online compute resources such as Green Button.
Table 1.

Summary of available plugins for Geneious Basic

Plugin nameCategoryAuthor
DualBrothers Recombination DetectPhylogeneticsMarc Suchard
Green ButtonSupercomputingBiomatters Ltd.
HeterozygotesSequencingBiomatters Ltd.
InterProScanProteinMichael Thon
MrBayesPhylogeneticsMarc Suchard
Phobos Tandem Repeat FinderNucleotideChristoph Mayer
PhyMLPhylogeneticsVincent Lefort
Species DelimitationProteinMasters and Ross
Transmembrane PredictionProteinMarc Suchard
Summary of available plugins for Geneious Basic

4 DISCUSSION

The functionality in Geneious Basic can be compared with a number of other desktop software packages, such as VectorNTI (Lu and Moriyama, 2004), CLC Bio, Sequencher (GeneCodes), Lasergene (DNAstar) and MEGA4 (Tamura ). In comparison to the above, the focus of Geneious Basic is to provide an extensible desktop platform in which existing components can be leveraged by third-party plugin developers. This is a unique and important contribution to bioinformatics, allowing users to customize and extend core to their needs without significant manual intervention, matching the success of extensible platforms in parallel spaces such as network analysis and workflow management (Goecks ; Smoot ). Also comparable is Geneious Pro (Drummond ), a commercial extension to Geneious Basic. It shares the base functionality of Geneious Basic and additionally provides tools focused on data sharing, collaboration and advanced next-generation sequencing functionality. Geneious Basic brings together a large and disparate number of complementary data sources, analysis methods and visualization tools. It is the intention of the authors that by encouraging development to the public API new analysis methods and visualization tools will continue to grow and diversify the range of bioinformatics tasks available to all researchers. Geneious Basic is cross-platform and is available for Linux, Apple OSX and MS Windows as a standalone download. It is also available as a preconfigured package in the comprehensive Bio-Linux operating system (Field ). Conflict of Interest: MK is currently employed by Biomatters Ltd, the makers of Geneious and hold share options as part of the company share options scheme.
  8 in total

1.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

2.  Vector NTI, a balanced all-in-one sequence analysis suite.

Authors:  Guoqing Lu; Etsuko N Moriyama
Journal:  Brief Bioinform       Date:  2004-12       Impact factor: 11.622

3.  Open software for biologists: from famine to feast.

Authors:  Dawn Field; Bela Tiwari; Tim Booth; Stewart Houten; Dan Swan; Nicolas Bertrand; Milo Thurston
Journal:  Nat Biotechnol       Date:  2006-07       Impact factor: 54.908

4.  MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) software version 4.0.

Authors:  Koichiro Tamura; Joel Dudley; Masatoshi Nei; Sudhir Kumar
Journal:  Mol Biol Evol       Date:  2007-05-07       Impact factor: 16.240

5.  Species Delimitation--a Geneious plugin for the exploration of species boundaries.

Authors:  Bradley C Masters; Vicky Fan; Howard A Ross
Journal:  Mol Ecol Resour       Date:  2011-01       Impact factor: 7.090

6.  Cloud computing and the DNA data race.

Authors:  Michael C Schatz; Ben Langmead; Steven L Salzberg
Journal:  Nat Biotechnol       Date:  2010-07       Impact factor: 54.908

7.  Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences.

Authors:  Jeremy Goecks; Anton Nekrutenko; James Taylor
Journal:  Genome Biol       Date:  2010-08-25       Impact factor: 13.583

8.  Cytoscape 2.8: new features for data integration and network visualization.

Authors:  Michael E Smoot; Keiichiro Ono; Johannes Ruscheinski; Peng-Liang Wang; Trey Ideker
Journal:  Bioinformatics       Date:  2010-12-12       Impact factor: 6.937

  8 in total
  2000 in total

1.  Bartonella Infection in Hematophagous, Insectivorous, and Phytophagous Bat Populations of Central Mexico and the Yucatan Peninsula.

Authors:  Matthew J Stuckey; Bruno B Chomel; Guillermo Galvez-Romero; José Ignacio Olave-Leyva; Cirani Obregón-Morales; Hayde Moreno-Sandoval; Nidia Aréchiga-Ceballos; Mónica Salas-Rojas; Alvaro Aguilar-Setién
Journal:  Am J Trop Med Hyg       Date:  2017-07-19       Impact factor: 2.345

2.  Zooming in on Cadherin-23: Structural Diversity and Potential Mechanisms of Inherited Deafness.

Authors:  Avinash Jaiganesh; Pedro De-la-Torre; Aniket A Patel; Domenic J Termine; Florencia Velez-Cortes; Conghui Chen; Marcos Sotomayor
Journal:  Structure       Date:  2018-07-19       Impact factor: 5.006

3.  SNP-skimming: A fast approach to map loci generating quantitative variation in natural populations.

Authors:  Carolyn A Wessinger; John K Kelly; Peng Jiang; Mark D Rausher; Lena C Hileman
Journal:  Mol Ecol Resour       Date:  2018-08-08       Impact factor: 7.090

4.  The concluding chapter: recircumscription of Goodenia (Goodeniaceae) to include four allied genera with an updated infrageneric classification.

Authors:  Kelly A Shepherd; Brendan J Lepschi; Eden A Johnson; Andrew G Gardner; Emily B Sessa; Rachel S Jabaily
Journal:  PhytoKeys       Date:  2020-07-07       Impact factor: 1.635

5.  Species Delimitation and Description of Mesocriconema nebraskense n. sp. (Nematoda: Criconematidae), a Morphologically Cryptic, Parthenogenetic Species from North American Grasslands.

Authors:  Magdalena Olson; Timothy Harris; Rebecca Higgins; Peter Mullin; Kirsten Powers; Sean Olson; Thomas O Powers
Journal:  J Nematol       Date:  2017-03       Impact factor: 1.402

6.  Staphylococcal SCCmec elements encode an active MCM-like helicase and thus may be replicative.

Authors:  Ignacio Mir-Sanchis; Christina A Roman; Agnieszka Misiura; Ying Z Pigli; Susan Boyle-Vavra; Phoebe A Rice
Journal:  Nat Struct Mol Biol       Date:  2016-08-29       Impact factor: 15.369

7.  Limited dishevelled/Axin oligomerization determines efficiency of Wnt/β-catenin signal transduction.

Authors:  Wei Kan; Michael D Enos; Elgin Korkmazhan; Stefan Muennich; Dong-Hua Chen; Melissa V Gammons; Mansi Vasishtha; Mariann Bienz; Alexander R Dunn; Georgios Skiniotis; William I Weis
Journal:  Elife       Date:  2020-04-16       Impact factor: 8.140

8.  Molecular characterization of a putative new cavemovirus isolated from wild chicory (Cichorium intybus).

Authors:  Leonardo A Silva; Brenda R de Camargo; Marcelo Eiras; Alexandre L R Chaves; Bergmann M Ribeiro
Journal:  Arch Virol       Date:  2021-07-22       Impact factor: 2.574

9.  The first two confirmed sub-Saharan African families with germline TP53 mutations causing Li-Fraumeni syndrome.

Authors:  Shelley Macaulay; Quintin Clive Goodyear; Mia Kruger; Wenlong Chen; Fahmida Essop; Amanda Krause
Journal:  Fam Cancer       Date:  2018-10       Impact factor: 2.375

10.  Bromate-induced Changes in p21 DNA Methylation and Histone Acetylation in Renal Cells.

Authors:  Ramya T Kolli; Travis C Glenn; Bradley T Brown; Sukhneeraj P Kaur; Lillie M Barnett; Lawrence H Lash; Brian S Cummings
Journal:  Toxicol Sci       Date:  2019-04-01       Impact factor: 4.849

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.