PROFILE

PROFILE is a tool designed to personalize patient-specific Boolean models using omics data. Boolean models are a type of mathematical model used to represent biological systems, where each element (e.g., a gene or protein) can exist in one of two states (e.g., on or off). PROFILE can be used to tailor Boolean models to reflect the unique characteristics of a patient’s cellular biology by integrating patient-specific omics data into the Boolean model variables, enabling the creation of patient-specific intracellular models that reflect the biological characteristics of a patient’s cells.

Info

Members (researchers): Arnau Montagud Aquino

Research Groups: Systems Biology Modeling

Contact Email: arnau.montagud@csic.es

Tool Repository: https://github.com/ArnauMontagud/PROFILE_v2

Documentation: https://github.com/ArnauMontagud/PROFILE_v2

Publications DOI: 10.3389/fphys.2018.01965

No Institution assigned.
Application domain:

Applications of Computational Biology, Biosystems Modeling, Computational models and simulations, Gene regulatory networks, Integrative Analysis, Personal medicine, Regulatory biology, Systems Biology

Technical details
Type of application
  • R/python package
Software compatibility
  • Linux
  • Mac
  • Windows
Hardware requirements
Programming language
  • Python
  • R
Type of containerization
  • Singularity/AppTainer
Wrapper type
  • Nextflow
  • Snakemake
Input file formats
  • Other
Output file formats
  • csv
Compatibility with other tools