ortho_seqs
master
  • Background & Quickstart
  • Tutorial: Running a sample dataset (protein sequences)
  • Tutorial: Visualizing your rFon1D results
  • Tutorial: Generating a sequence logo plot
  • License
  • Get Further Help
ortho_seqs
  • Welcome to the documentation for ortho_seqs!
  • Edit on GitHub

Welcome to the documentation for ortho_seqs!¶

_images/draft_logo1.png

Introduction:¶

This documentation accompanies the ortho_seqs python command line tool that computes multivariate tensor-based orthogonal polynomials based on DNA, RNA or protein sequence data and maps corresponding phenotypic information onto the sequence space.

Guide¶

  • Background & Quickstart
    • ortho_seqs
    • Documentation
    • Usage
      • First, install an environment with dependencies for this package:
      • Then, install the package:
      • Gather the input file(s) needed.
      • Then, to run the commandline tool:
      • Flags & Functionality
    • Results & Outputs
      • Generating logo plot
      • Running ortho_seqs
    • The rf1d class
    • To run the GUI
    • Support
    • Roadmap
    • Contribution
    • Authors and acknowledgements
    • License
  • Tutorial: Running a sample dataset (protein sequences)
    • 1. Setting Up Your Computer to Run ortho_seqs
    • 2. Your dataset
    • 3. Executing Ortho_Seqs
    • 4. Obtained Outputs
      • CLI Outputs
      • Histogram and Spreadsheet of Covariances
      • rFon1D Graph
    • 4. The rf1d Class
  • Tutorial: Visualizing your rFon1D results
    • 1. Requirements for rf1d-viz
    • 2. rf1d-viz flags:
    • 3. Running rf1d-viz
    • Guided example with the Sidhu dataset
  • Tutorial: Generating a sequence logo plot
    • 1. Requirements for logo-plot
    • 2. logo-plot flags:
    • 3. Running logo-plot:
    • 4. Guided example with test dataset:
  • License
  • Get Further Help
    • Contact

Indices and tables¶

  • Index

  • Module Index

  • Search Page

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© Copyright 2021, Saba Nafees. Revision fed79e84.

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