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SeSiMCMC website  

The Sequence Similarities by Markov Chain Monte Carlo (SeSiMCMC) algorithm finds DNA motifs of unknown length and complicated structure, such as direct repeats or palindromes with variable spacers in the middle in a set of unaligned DNA sequences. It uses an improved motif length estimator and careful Bayesian analysis to consider site absence in a sequence.

Environment Modules

Run module spider SeSiMCMC to find out what environment modules are available for this application.

System Variables

  • HPC_SESIMCMC_DIR - installation directory
  • HPC_SESIMCMC_BIN - executable directory


If you publish research that uses SeSiMCMC you have to cite it as follows:

Bioinformatics. 2005 May 15;21(10):2240-5. doi: 10.1093/bioinformatics/bti336. Epub 2005 Feb 22.