 STEME
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Accurate efficient motif finding in large data sets
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STEME started life as an approximation to the Expectation-Maximisation algorithm for 
the type of model used in motif finders such as MEME. STEME’s EM approximation 
runs an order of magnitude more quickly than the MEME implementation for typical 
parameter settings. STEME has now developed into a fully-fledged motif finder in 
its own right.
