Fig. 1
From: PyGMQL: scalable data extraction and analysis for heterogeneous genomic datasets
Schematic representation of the software components of PyGMQL. In the front-end, the GMQLDataset is a data structure associated with a query, referring directly to the DAG expressing the query operations. The GDataframe stores the query result and enables in-memory manipulation of the data. The front-end provides also a module for loading and storing data, and a RemoteManager module, used for message interchange between the package and an external GMQL service. The back-end interacts with the front-end through a Manager module, which maps the operations specified in Python with the GMQL operators implemented in Spark