SBbadger
stable
  • Quick Start
  • Usage
  • Methods
  • Examples
SBbadger
  • Welcome to SBbadger’s documentation!
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Welcome to SBbadger’s documentation!

SBbadger is a Python library for the generation of synthetic reaction and metabolic reaction models with directed networks that conform to user-defined degree distributions.

Contents

  • Quick Start
    • Installation
    • Simple Example
    • Expanded Example
  • Usage
    • Modules
      • Generating distributions
      • Generating Networks
      • Addition of Rate-Laws
    • Standard Networks
      • Linear
      • Cyclic
      • Branched
  • Methods
    • Generating a singular model (as a string variable)
      • model()
    • Generating a collection of Models
      • models()
    • Generating Distributions
      • distributions()
    • Generating Networks
      • networks()
    • Applying Rate-Laws
      • rate_laws()
    • Standard Networks
      • Linear
        • linear()
      • Cyclic
        • cyclic()
      • Branched
        • branched()
  • Examples
    • Mass-action
    • Generalized mass-action
    • Lin-log
    • Hanekom (generalized Michaelis-Menten)
    • Liebermeister (modular)
    • Saturable and Cooperative
    • Joint distribution
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© Copyright 2022, Michael Kochen. Revision 57d7fbbe.

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