saCeSS

Global optimization library for computational systems biology.

Info

Members (researchers): Julio Rodriguez Banga

Research Groups: Computational Biology Lab at MBG

Contact Email: j.r.banga@csic.es

Tool Repository: https://bitbucket.org/DavidPenas/sacess-library/src/master/

Documentation: https://bitbucket.org/DavidPenas/sacess-library/src/master/doc/

Publications DOI: doi:10.1186/s12859-016-1452-4

No Institution assigned.
Application domain:

Applications of Computational Biology, Biomolecular simulation, Biosystems Modeling, Computational models and simulations, Computational Techniques, Data Analysis, Frequentist analysis, High-performance Computing, Integrative Analysis, Metabolic modelling, Parallel Computing, Pathway analysis, Personal medicine, Regulatory biology, Statistical Methods for Biology, Systems Biology

Technical details
Type of application
  • Desktop application
Software compatibility
  • Linux
  • Windows
Hardware requirements
  • From workstations to supercomputers
Programming language
  • C
  • C++
  • Fortran
Type of containerization
  • None
Wrapper type
  • None
Input file formats
  • xml
Output file formats
  • xml
Compatibility with other tools