Articlehybrid2014

Polyglot Programming in Applications Used for Genetic Data Analysis

8 citations0/0 files storedBioMed Research International

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Scientific Computing and Data Management Genomics and Phylogenetic Studies Genetics, Bioinformatics, and Biomedical Research

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.

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2004Bioconductor: open software development for computational biology and bioinformatics 2010Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences 2014Best Practices for Scientific Computing 1996Active object: an object behavioral pattern for concurrent programming 2014Ten Simple Rules for Effective Computational Research 2006Gbrowse Moby: a Web-based browser for BioMoby Services

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