Next Generation Sequencing is a 10-year old technology for reading the DNA, capable of producing massive amounts of genomic data - in turn, reshaping genomic computing. In particular, tertiary data analysis is concerned with the integration of heterogeneous regions of the genome; this is an emerging and increasingly important problem of genomic computing, because regions carry important signals and the creation of new biological or clinical knowledge requires the integration of these signals into meaningful messages. We specifically focus on how the GeCo project is contributing to tertiary data analysis, by overviewing the main results of the project so far and by describing its future scenarios.

Overview of GeCo: A Project for Exploring and Integrating Signals from the Genome

Stefano Ceri;Anna Bernasconi;Arif Canakoglu;Andrea Gulino;Abdulrahman Kaitoua;Marco Masseroli;Luca Nanni;Pietro Pinoli
2018-01-01

Abstract

Next Generation Sequencing is a 10-year old technology for reading the DNA, capable of producing massive amounts of genomic data - in turn, reshaping genomic computing. In particular, tertiary data analysis is concerned with the integration of heterogeneous regions of the genome; this is an emerging and increasingly important problem of genomic computing, because regions carry important signals and the creation of new biological or clinical knowledge requires the integration of these signals into meaningful messages. We specifically focus on how the GeCo project is contributing to tertiary data analysis, by overviewing the main results of the project so far and by describing its future scenarios.
2018
Data Analytics and Management in Data Intensive Domains. DAMDID/RCDL 2017
978-3-319-96552-9
978-3-319-96553-6
Genomic computing, Data translation and optimization, Cloud computing, Next generation sequencing, Open data
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1058981
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