Abstract

Raw DNA sequences contain an immense amount of meaningful biological information. However, these sequences are hard for humans to intuitively interpret. To solve this problem, a number of methods have been proposed to transform DNA sequences into two-dimensional visualizations. DNAvisualization.org implements several of these methods in a cost effective and performant manner via a novel, entirely serverless architecture. By taking advantage of recent developments in serverless parallel computing and selective data retrieval, the website is able to offer users the ability to visualize up to thirty 4.5 Mb DNA sequences simultaneously using one of five supported methods and to export these visualizations in a variety of publication-ready formats.

Highlights

  • As DNA sequencing technology becomes more commonplace, tools for the analysis of its data are among the most cited papers in science [1]

  • A different approach to addressing this problem is to convert DNA sequences directly into two-dimensional visualizations that capture some aspect of the biological information contained within, without relying on external information such as annotations

  • Taking inspiration from DNAsonification.org [14], which allows for the auditory inspection of DNA sequences, we propose DNAvisualization.org to fill this gap in the webbased visualization toolset

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Summary

Introduction

As DNA sequencing technology becomes more commonplace, tools for the analysis of its data are among the most cited papers in science [1]. The reason is simple: DNA sequences are, by themselves, almost completely unintelligible to humans. A different approach to addressing this problem is to convert DNA sequences directly into two-dimensional visualizations that capture some aspect of the biological information contained within, without relying on external information such as annotations. This approach has the benefit of taking advantage of the highly developed human visual system, which is capable of tremendous feats of pattern recognition and memory [5]

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