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Docker for the operational calculation of the soil moisture anomalies (SMA)

Aggregation of indices values over Nuts3 into database

OWL 2 QL ontology modules

Parallelized computation, publication and analysis of climate indices from climate projections time-series.

Codebase for a docker container to be used in the ADO pipeline

Codebase for a docker container to be used in the ADO pipeline

This project explores and implements robust relational data models for efficiently storing and querying large-scale genetic Variant Call Format (VCF) data. Leveraging PostgreSQL, we present and evaluate eight distinct schema designs, demonstrating how traditional relational databases can offer competitive performance, scalability, and full database management system (DBMS) features for complex genomic workloads, complementing specialized tools like BCF Tools and TileDB-VCF.