MEME 3.0 – Multiple Eexpectation-maximization for Motif Elicitation, see MEME Site License.
MEME Method
The input to MEME is a set of unaligned DNA or protein sequences (the training set) and outputs as many motifs as requested. MEME uses statistical modeling techniques to automatically choose the best width and description of each motif.

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. A typical MEME motif is shown below.

MEME also produces block diagrams showing where all of the discovered motifs occur in the training set sequences. This illuminates the spatial arrangement of protein domains or DNA features (e.g. protein binding sites) within the input sequences. A typical MEME block diagram is shown below.

MEME Operations
MEME Utilities
MEME motifs can predict/explain function, homology and structure of sequences. MEME can aid in discovery of protein binding sites and other regulatory elements in groups of upstream regions from co-regulated genes.
MAST 3.0 – Motif Alignment and Search Tool: MAST Site License
MAST Operations
System Requirements
MEME and MAST operate on many platforms, including Linux, Mac OSX, Cygwin (running under Windows) and some types of UNIX. A list of supported operating systems and their manufactures is available at http://meme.sdsc.edu/meme/meme-install.html#sysrequirements
System Information
A detailed overview of MEME and MAST is located at System Release Notes.
Commercial use site licenses may be downloaded at the following links:
MEME 3.0 – Multiple Expectation-maximization for Motif Elicitation: MEME Site License
MAST 3.0 – Motif Alignment and Search Tool: MAST Site License
Executable software can be downloaded for licensed use at the following link:
http://meme.nbcr.net/downloads/
Case Numbers: SD2001-804 (MEME 3.0), SD2002-802 (MAST 3.0)
Keywords: MEME, MAST, Motif
Inquiries To: invent@ucsd.edu