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An open framework for extensible multi-stage bioinformatics software

Keeble-Gagnère, G., Nyström-Persson, J., Bellgard, M.I. and Mizuguchi, K. (2012) An open framework for extensible multi-stage bioinformatics software. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 7632 (7632). pp. 106-117.

Link to Published Version: http://dx.doi.org/10.1007/978-3-642-34123-6_10
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Abstract

In research labs, there is often a need to customise software at every step in a given bioinformatics workflow, but traditionally it has been difficult to obtain both a high degree of customisability and good performance. Performance-sensitive tools are often highly monolithic, which can make research difficult. We present a novel set of software development principles and a bioinformatics framework, Friedrich, which is currently in early development. Friedrich applications support both early stage experimentation and late stage batch processing, since they simultaneously allow for good performance and a high degree of flexibility and customisability. These benefits are obtained in large part by basing Friedrich on the multiparadigm programming language Scala. We present a case study in the form of a basic genome assembler and its extension with new functionality. Our architecture has the potential to greatly increase the overall productivity of software developers and researchers in bioinformatics.

Publication Type: Journal Article
Murdoch Affiliation: Centre for Comparative Genomics
Publisher: Springer-Verlag
Copyright: © 2012 Springer-Verlag
Notes: Paper presentation at the 7th IAPR International Conference on Pattern Recognition in Bioinformatics, PRIB 2012; Tokyo; 8 November 2012 - 10 November 2012
URI: http://researchrepository.murdoch.edu.au/id/eprint/11873
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