The huge amount of data made available by the technologies for sequencing the human genome calls for sophisticated and automated analysis techniques. In this direction, the GOLAM framework has been developed within the scope of the GenData 2020 Project to enable multi-resolution analysis and mining of matches between genomic regions. In this paper we show how the GOLAM framework can be used for OLAP analysis of the mappings between regions and samples resulting from queries expressed in GMQL against repositories of genomic data. In particular we show the multidimensional schema that represents mappings and we briefly address the main research challenge implied by GOLAM, i.e., on-demand ETL.

Analyzing Genomic Mappings with the GOLAM Framework

BALDACCI, LORENZO;GOLFARELLI, MATTEO;GRAZIANI, SIMONE;RIZZI, STEFANO
2015

Abstract

The huge amount of data made available by the technologies for sequencing the human genome calls for sophisticated and automated analysis techniques. In this direction, the GOLAM framework has been developed within the scope of the GenData 2020 Project to enable multi-resolution analysis and mining of matches between genomic regions. In this paper we show how the GOLAM framework can be used for OLAP analysis of the mappings between regions and samples resulting from queries expressed in GMQL against repositories of genomic data. In particular we show the multidimensional schema that represents mappings and we briefly address the main research challenge implied by GOLAM, i.e., on-demand ETL.
Advanced Database Systems
80
87
Lorenzo Baldacci; Matteo Golfarelli; Simone Graziani; Stefano Rizzi
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11585/503172
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