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Picopore: A tool for reducing the size of Oxford Nanopore Technologies' datasets without losing information.

Tool

Date: 14th February 2017 | Source:

Authors: Scott Gigante, Walter & Eliza Hall Institute of Medical Research

A tool for reducing the size of Oxford Nanopore Technologies' datasets without losing information.

Options:

  • Lossless compression: reduces footprint without reducing the ability to use other nanopore tools by using HDF5's inbuilt gzip functionality
  • Deep lossless compression: reduces footprint without removing any data by indexing basecalled dataset to the event detection dataset
  • Raw compression: reduces footprint by removing event detection and basecall data, leaving only raw signal, configuration data and FASTQ
  • Minimal compression: reduces footprint by removing event detection and basecall data, leaving only raw signal (not yet implemented)
F1000 Research

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