Alexander FavorovAlexander Favorov (favorov@sensi.org)http://favorov.imb.ac.ru/SeSiMCMC/Favorov AV, Gelfand MS, Gerasimova AV, Ravcheev DA, Mironov AA and Makeev VJ (2005) "A Gibbs sampler for identification of symmetrically structured, spaced DNA motifs with improved estimation of the signal length", <i>Bioinformatics</i>, <b>21</b>(10):2240-5The 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%PROGRAM {Sequence} {Search for} {Motif length} {Min length} {Max length} {Adjust motif length} {Result}DirectGeneric motifs on both strands21000010Motif length (start)2100006Minimum motif length21000016Max motif length-a+sitesmotifs