Abstract
Applications used for the analysis of genetic data process large volumes of data with complex algorithms. High performance, flexibility, and a user interface with a web browser are required by these solutions, which can be achieved by using multiple programming languages. In this study, I developed a freely available framework for building software to analyze genetic data, which uses C++, Python, JavaScript, and several libraries. This system was used to build a number of genetic data processing applications and it reduced the time and costs of development.
Cite
CITATION STYLE
Nowak, R. M. (2014). Polyglot programming in applications used for genetic data analysis. BioMed Research International, 2014. https://doi.org/10.1155/2014/253013
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