Picopore: A tool for reducing the size of Oxford Nanopore Technologies' datasets without losing information.
)
- Published on: February 14 2017
- Source: GitHub
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)
