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Pygenprop: a Python library for programmatic exploration and comparison of organism genome properties
Lee H Bergstrand1, Josh D Neufeld1, Andrew C Doxey1
1Department of Biology, University of Waterloo, Waterloo, Canada.
Bioinformatics (Oxford, England)
|June 27, 2019
Summary
Pygenprop is a new Python library for comparative genomics, enabling easy identification of biochemical pathway differences across organisms. It integrates with popular data science tools for streamlined genome analysis.
Area of Science:
- Bioinformatics
- Comparative Genomics
- Computational Biology
Background:
- Comparative genomics requires identifying differences in biochemical pathways among organisms.
- Existing tools may lack compatibility with modern data science ecosystems.
Purpose of the Study:
- Introduce Pygenprop, a Python library for comparative genomics.
- Facilitate the comparison of biochemical pathways using the Genome Properties database.
Main Methods:
- Pygenprop utilizes InterProScan annotations of open reading frames.
- Assigns YES, NO, or PARTIAL support for genomic properties.
- Offers classes for Genome Properties database representation and difference detection.
Main Results:
- Pygenprop provides compatibility with Python data science tools like Jupyter Notebooks and scikit-learn.
- Enables efficient detection of property assignment differences between organisms.
Conclusions:
- Pygenprop simplifies comparative genomic analyses.
- Anticipated widespread adoption for routine genome analysis and software integration.
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