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Logo LogoH2M 0.1.0 documentation

Contents:

  • Quick Start
  • Jupyter Notebook Tutorial
  • Complete Function Documentation
  • Downstream Genome Editing Librabry Design Tool
  • About H2M

H2M Documentation#

_images/h2m-logo-final.png

H2M is a python package for precise modeling of human vairants in the mouse genome.

H2M’s main functions are:

  1. Querying mouse orthologous genes with human genes input.

  2. Generating homologous mouse mutations with a list of input human mutations. The input format is extremely flexible, allowing for users to input a list of genome coordinates or sequences with desired edits.

Package Installation#

H2M is available through the python package index. To install, use pip:

pip install h2m

Contents:

  • Quick Start
    • Installation
    • Importing packages
    • Loading data
    • Query mouse orthologous genes
    • Get transcript ID (Internet connection needed)
    • Modeling human variants in the mouse genome
      • Input
      • Usage
      • Alternative modeling
      • Original modeling with uncertain effects
      • Additional function 1: modeling for base editing
      • Additional function 2: modeling by amino acid change input
    • Batch Processing
      • Input format
        • Read from cBioPortal
        • Read from ClinVar
        • Read from GenomAD
      • Get canonical transcript ID of human genes if needed, no internet connection needed
      • Get canonical transcript ID of mouse genes, no internet connection needed
      • Batch modeling
      • Result visualization
  • Jupyter Notebook Tutorial
  • Complete Function Documentation
    • genome_loader()
    • anno_loader()
    • cbio_reader()
    • clinvar_reader()
    • genomad_reader()
    • get_tx_id()
    • get_tx_batch()
    • query()
    • query_batch()
    • model()
    • model_batch()
    • visualization()
  • Downstream Genome Editing Librabry Design Tool
    • PEGG: Prime Editing Guide Generator
  • About H2M

On this page

  • Package Installation

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