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BioMed Research International
Volume 2014 (2014), Article ID 253013, 7 pages
Research Article

Polyglot Programming in Applications Used for Genetic Data Analysis

Institute of Electronic Systems, Warsaw University of Technology, Nowowiejska 15/19, 00-665 Warsaw, Poland

Received 30 May 2014; Revised 22 July 2014; Accepted 31 July 2014; Published 14 August 2014

Academic Editor: Brian Oliver

Copyright © 2014 Robert M. Nowak. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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.