• GEVALT - GEVALT (GEnotype Visualization and ALgorithmic Tool) is designed to simplify and expedite the process of genotype analysis and disease association tests by providing a common interface to several common tasks relating to such analyses. It is aimed for analysis of unrelated individuals as well as two-generation families.
  
  
• RAT - RAT (Rapid Association Test) is a software for testing association between single nucleotide polymorphisms (SNPs) and a disease. The main advantage of RAT is its ability to calculate accurately and quickly high significance disease association. For large data set and low p-values, RAT is 2-4 orders of magnitude faster than the standard permutation test. The software is written in C++. RAT is now part of the GEVALT project (see above).
   
• PSAT - PSAT (Population Stratification Association Test) is a software for testing association between single nucleotide polymorphisms (SNPs) and a disease with stratification. The approach is a randomization test akin to a standard permutation test.  It conditions on the genotype matrix and thus takes account not only of the population structure but also of the complex linkage disequilibrium structure of the genome. The main advantage of PSAT is its ability to calculate accurately and quickly high significance disease association. The software is written in C++. Binary versions of PSAT are ready for Linux platform.
   
• CAMP - CAMP (Coalescent based Association MaPping) is a software for significance estimation and for mapping association of single nucleotide polymorphisms (SNPs) and a phenotype. CAMP takes into account the trade-off between the complexity of the genealogy and the power lost due to the additional multiple hypotheses. The software is written in C. Binary versions of CAMP are ready for Linux platform.