Porekit

A pythonic toolkit for working with Oxford Nanopore Data

This is a kit of tools for handling data from Oxford Nanopore Technologies’ sequencers, built for integration into the scientific Python ecosystem, including Jupyter Notebook.

This library is meant for use both as an interactive toolkit for use in Jupyter notebooks, as well as custom scripts. In the future a command line tool may be added as well.

Feature requests and bug reports are wellcome. Please use the github issues.

• Porekit
  • Main features
  • Planned
  • Credits
• Installation
  • Use Python 3.5!
• Introduction to Porekit-Python
  • Disclaimer
  • General philosophy and goal of Porekit-Python
  • What Oxford Nanopore Data looks like
  • Gathering Metadata
  • Grouping by Device, ASIC and Run Ids
• Plotting Data
  • Read length distribution
  • Reads over time
  • Yield Curves
  • Template length vs complement length
  • Occupancy
  • Customizing plots
• Contributing
  • Types of Contributions
  • Get Started!
• Credits
  • Development Lead
  • Contributors
• History

Indices and tables

• Index
• Module Index
• Search Page