The MEME system allows you to

1. discover motifs (highly conserved regions) in groups of related DNA or protein sequences using MEME and,
2. search sequence databases using motifs using MAST.

• The MEME system was developed by Timothy Bailey, Charles Elkan, and Bill Grundy at the UCSD Computer Science and Engineering department with input from Michael Gribskov at the San Diego Supercomputer Center.
• MEME is described in detail in the papers available here.
• You can see sample MEME output or sample MAST output.
• Differences between the current release of the MEME system and earlier releases are described in the release notes .
• You can download the ANSI C source code for the MEME system.
• Meta-MEME combines motif models from MEME into a hidden Markov model framework for use in searching sequence databases.
• MEME and MAST are copyrighted software and can be licensed for commercial use.