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PyGMQL: scalable data extraction and analysis for heterogeneous genomic datasets.

Luca NanniPietro PinoliArif CanakogluStefano Ceri
Published in: BMC bioinformatics (2019)
PyGMQL is an effective and innovative tool for supporting tertiary data extraction and analysis pipelines. We demonstrate the expressiveness and performance of PyGMQL through a sequence of biological data analysis scenarios of increasing complexity, which highlight reproducibility, expressive power and scalability.
Keyphrases
  • data analysis
  • electronic health record
  • climate change
  • gene expression