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.
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Acknowledgment
This research is funded by the ERC Advanced Grant project GeCo (Data-Driven Genomic Computing), No. 693174, 2016-2021.
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Ceri, S. et al. (2018). Overview of GeCo: A Project for Exploring and Integrating Signals from the Genome. In: Kalinichenko, L., Manolopoulos, Y., Malkov, O., Skvortsov, N., Stupnikov, S., Sukhomlin, V. (eds) Data Analytics and Management in Data Intensive Domains. DAMDID/RCDL 2017. Communications in Computer and Information Science, vol 822. Springer, Cham. https://doi.org/10.1007/978-3-319-96553-6_4
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DOI: https://doi.org/10.1007/978-3-319-96553-6_4
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