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Interactive visualization of nanopore sequencing signal data with Squigualiser.

Hiruna SamarakoonKisaru LiyanageJames M FergusonSri ParameswaranHasindu GamaarachchiIra W Deveson
Published in: Bioinformatics (Oxford, England) (2024)
Squigualiser is an open-source package under an MIT licence: https://github.com/hiruna72/squigualiser. The software was developed using Python 3.8 and can be installed with pip or bioconda or executed directly using prebuilt binaries provided with each release.
Keyphrases
  • data analysis
  • electronic health record
  • single molecule
  • single cell
  • big data
  • solid state
  • machine learning
  • electron microscopy