Paper
1 October 2018 iGAP: Interactive Genomic Analysis Platform
Author Affiliations +
Proceedings Volume 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018; 108083T (2018) https://doi.org/10.1117/12.2502040
Event: Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 2018, Wilga, Poland
Abstract
Traditionally Next Generation Sequencing (NGS) data analysis has been designed and performed in a file- based manner. In this publication we introduce an interactive Genomic Analysis Platform (iGAP) which drives evolution of genomic data analysis from file-centric to table-centric methods. Due to high volume of sequencing data the solution was build upon scalable Apache Spark and Apache Hadoop environment and new efficient data model has been proposed. The described application can be used in research as well as clinical institutions and laboratories where currently massive amount of NGS data are stored and analyzed.
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Agnieszka Szmurło, Marek Wiewiórka, and Tomasz Gambin "iGAP: Interactive Genomic Analysis Platform", Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108083T (1 October 2018); https://doi.org/10.1117/12.2502040
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KEYWORDS
Data modeling

Genomics

Analytical research

Analytics

Biological research

Data analysis

Databases

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