One of the most effective visualizations for genomics data is the circular one, supported by popular packages and visualization suites. Many tools are available, however most of them share a number of negative points including limited ease of installation/usage, slow performance and memory limitations (making them unfeasible for very large genomes such as the human one) and non interactivity. In this paper we present the ongoing work on InstaCircos, a web application born from the scientific collaboration between Big Data Analytics and Bioinformatics researchers and aiming at overcoming the available tools' limitations. It provides advanced visualization features through an easy to use web interface and offers interactive functionalities and near real-Time performances thanks to an integrated big data management back-end based on MongoDB.
InstaCircos: A Web Application for Fast and Interactive Circular Visualization of Large Genomic Data (Work in Progress) / Ghidoni, G.; Martoglia, R.; Taccioli, C.; Vischioni, C.. - 2020-:(2020), pp. 385-390. (Intervento presentato al convegno 24th International Conference Information Visualisation, IV 2020 tenutosi a aus nel 2020) [10.1109/IV51561.2020.00068].
InstaCircos: A Web Application for Fast and Interactive Circular Visualization of Large Genomic Data (Work in Progress)
Martoglia R.;
2020
Abstract
One of the most effective visualizations for genomics data is the circular one, supported by popular packages and visualization suites. Many tools are available, however most of them share a number of negative points including limited ease of installation/usage, slow performance and memory limitations (making them unfeasible for very large genomes such as the human one) and non interactivity. In this paper we present the ongoing work on InstaCircos, a web application born from the scientific collaboration between Big Data Analytics and Bioinformatics researchers and aiming at overcoming the available tools' limitations. It provides advanced visualization features through an easy to use web interface and offers interactive functionalities and near real-Time performances thanks to an integrated big data management back-end based on MongoDB.
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