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PMID: 22543367 Published · ppublish English Journal Article

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

Bioinformatics (Oxford, England) ·Vol. 28 ·No. 12 ·2012-06-15 ·Pages 1647-9

Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, Buxton S, Cooper A, Markowitz S, Duran C, Thierer T, Ashton B, Meintjes P, Drummond A

Abstract

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. 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.

MeSH Terms
Algorithms Base Sequence Computational Biology/methods Programming Languages Sequence Analysis, DNA/methods Software User-Computer Interface
Authors & Affiliations
14 authors, click to expand affiliations / ORCID
Kearse Matthew
Biomatters Ltd., 2/76 Anzac Avenue, Auckland, 1010, New Zealand.
Moir Richard
Wilson Amy
Stones-Havas Steven
Cheung Matthew
Sturrock Shane
Buxton Simon
Cooper Alex
Markowitz Sidney
Duran Chris
Thierer Tobias
Ashton Bruce
Meintjes Peter
Drummond Alexei
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8 references, click to expand
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Article Info
Journal
Bioinformatics (Oxford, England)
Abbr.
Bioinformatics
ISSN
1367-4811
Published
2012-06-15
Epub
2012-00-27
Pages
1647-9
Language
English
Region
England
NLM ID
9808944
PMCID
PMC3371832
Subset
IM
Analysis Services
Analysis Services

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