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iGAP: Interactive Genomic Analysis Platform
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Paper 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.

Paper Details

Date Published: 1 October 2018
PDF: 6 pages
Proc. SPIE 10808, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018, 108083T (1 October 2018); doi: 10.1117/12.2502040
Show Author Affiliations
Agnieszka Szmurło, Warsaw Univ. of Technology (Poland)
Marek Wiewiórka, Warsaw Univ. of Technology (Poland)
Tomasz Gambin, Warsaw Univ. of Technology (Poland)


Published in SPIE Proceedings Vol. 10808:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2018
Ryszard S. Romaniuk; Maciej Linczuk, Editor(s)

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