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PycoQC computes metrics and generates interactive QC plots for Oxford Nanopore technologies sequencing data. PycoQC relies on the sequencing_summary.txt file generated by Albacore and Guppy, but if needed it can also generate a summary file from basecalled fast5 files. The package supports 1D and 1D2 runs generated with Minion, Gridion and Promethion devices and basecalled with Albacore 1.2.1+ or Guppy 2.1.3+. PycoQC is written in pure Python3. Python 2 is not supported.
Features
- PycoQC computes metrics and generates interactive QC plots
- Documentation available
- Example HTML reports
- Example JSON reports
- The package supports 1D and 1D2 runs generated with Minion, Gridion and Promethion devices
- Documentation available
Project Samples
Categories
Data VisualizationLicense
GNU General Public License version 3.0 (GPLv3)Follow pycoQC
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