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.
Lorenzo Baldacci, Matteo Golfarelli, Simone Graziani, Stefano Rizzi (2015). Analyzing Genomic Mappings with the GOLAM Framework.
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
