Polyglot Programming in Applications Used for Genetic Data Analysis | Zendy

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Polyglot Programming in Applications Used for Genetic Data Analysis

Author(s) -

Robert Nowak

Publication year - 2014

Publication title -

biomed research international

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.772

H-Index - 126

eISSN - 2314-6141

pISSN - 2314-6133

DOI - 10.1155/2014/253013

Subject(s) - computer science , python (programming language) , javascript , polyglot , genetic programming , flexibility (engineering) , software , genetic data , user interface , web application , programming language , data mining , software engineering , operating system , machine learning , population , statistics , demography , mathematics , sociology

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.

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