Multiple EM for Motif Elicitation or MEME is a tool for discovering motifs in a group of related DNA or protein sequences.
A motif is a sequence pattern that occurs repeatedly in a group of related protein or DNA sequences. MEME represents motifs as position-dependent letter-probability matrices which describe the probability of each possible letter at each position in the pattern. Individual MEME motifs do not contain gaps. Patterns with variable-length gaps are split by MEME into two or more separate motifs.
MEME takes as input a group of DNA or protein sequences (the training set) and outputs as many motifs as requested. It uses statistical modeling techniques to automatically choose the best width, number of occurrences, and description for each motif.
MEME is the first of a collection of tools for analyzing motifs called the MEME suite.
Read more about Multiple EM For Motif Elicitation: Definition, Use, Algorithm Components, Example, Shortcomings
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... Erased input data each time a new motif is discovered (the algorithm assumes the new motif is correct) ...
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