We are experts in the fields of bioinformatics and cheminformatics, implementing software solutions to drug discovery and data mining problems. 

We apply a wide range of algorithms applicable to modern scientific informatics, including

• Microarray Data Analysis
  
• Principal Components Analysis
  
• Support Vector Machines
  
• Neural Networks
  
• Molecular Database Similarity/Diversity Assessment
  
• Scoring of Small Molecule Docking
  
• Differential Evolution
  
• Nonlinear Optimization
  
• Simulated Annealing
  
• Genetic Algorithms
  
• Monte Carlo Simulations
  

We can parallelize algorithms for production on cluster farms using Mosix, MPI, or OpenMP as requested.

We develop software for both Windows and Linux platforms, either for specific target machines or for a range of target platforms.  We work in all major scientific software languages, including

• C/C++
  
• Java
  
• Python
  
• Perl, shell scripts
  

We prototype and test software with the most advanced mathematical, statistical, and scientific computing engines, including

• Pipeline Pilot
• R and S+
  
• Matlab
  
• Spotfire
  
• Maple
  
• Minitab
  
• MOE