title: Discovering novel sequence motifs with MEME.
abstract: This unit illustrates how to use MEME to discover motifs in a group of related nucleotide or peptide sequences. A MEME motif is a sequence pattern that occurs repeatedly in one or more sequences in the input group. MEME can be used to discover novel patterns because it bases its discoveries only on the input sequences, not on any prior knowledge (such as databases of known motifs). The input to MEME is a set of unaligned sequences of the same type (peptide or nucleotide). For each motif it discovers, MEME reports the occurrences (sites), consensus sequence, and the level of conservation (information content) at each position in the pattern. MEME also produces block diagrams showing where all of the discovered motifs occur in the training set sequences. MEME's hypertext (HTML) output also contains buttons that allow for the convenient use of the motifs in other searches.
authors.affiliation: University of Queensland, Brisbane, Australia.
authors.forename: Timothy L
authors.initials: TL
authors.lastname: Bailey
mesh_terms: D000465:Algorithms; D020816:Amino Acid Motifs; D016013:Likelihood Functions; D016415:Sequence Alignment / Q000379:methods*; D017421:Sequence Analysis / Q000379:methods*; D012984:Software