Biohunter

Biohunter

Biohunter is open-source software for analyzing biological network data and simulating network dynamics. It enables researchers to visualize, manipulate, and model biological networks to gain insights into complex systems biology research questions.
network-analysis systems-biology modeling open-source

Biohunter: Biological Network Analysis & Simulation

Open-source software for analyzing biological network data and simulating network dynamics, aiding complex systems biology research

What is Biohunter?

Biohunter is an open-source software application designed specifically for the analysis and simulation of biological network data. It provides researchers with a user-friendly graphical interface to import, visualize, manipulate, and mathematically model biological networks maps in order to study complex systems biology research questions.

Some key features of Biohunter include:

  • Import and integration of network data from various common file formats
  • Interactive network graphs with customizable visual properties and layouts
  • Built-in analysis tools for computing network topology statistics
  • Network motif detection algorithms
  • Node degree and centrality distribution plots
  • Identification of network modules and clusters
  • Network randomization and permutation functions
  • Simulation engine to computationally model network behavior over time
  • Model parameter sweeping capabilities
  • Visual plotting of simulation results
  • Support for developing custom network analysis plug-ins
  • Scripting interface for automating workflows

By providing this extensive toolkit specialized for biological networks in one open-source platform, Biohunter enables systems biologists and bioinformaticians to gain important insights into the complex dynamics of biological systems mapped as interaction networks.

Biohunter Features

Features

  1. Network visualization
  2. Network analysis tools
  3. Dynamical modeling and simulation
  4. Plugin architecture for extensibility

Pricing

  • Open Source

Pros

Open source and free to use

Support for many standard network file formats

Large library of analysis algorithms

Customizable and extensible via plugins

Cons

Steep learning curve

Limited documentation and support

Mostly intended for developers and computational biologists


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