Click here for an example of graphical output from Meme. This example uses a set of nucleotide sequences. If you're comparing protein sequences, your output will look a bit different.

Comments on the output:

• Scroll down to Training Set. You'll find a list of all the sequences you put in and their lengths
• Scroll down to Motif 1, the best that Meme found in this run. You'll see the width (the number of nucleotides in the motif), how many sites were found in your sequences, and an E-value. I presume the latter is the estimated probability that you would find this number of motifs with the given width in a random collection of sequences as extensive as yours.
• Below this is a graphical representation of the information content at each position of the motif. High bars indicate high information content (e.g. homogeneity). Low bars indicate low information content (randomness).
• The colored sequences are particular instances of the motif found by Meme in the indicated sequence
• The block diagram shows graphically where the motif lies within its sequence
• The format is repeated for each motif found
• Summary of motifs (at the end of the outuput, except for the explanatory text) shows you in one picture where each of the motifs lie within the sequences

Contact me
  Jeff Elhai
  Life Sciences Building, Room 335
  828-0794
  ElhaiJ@VCU.Edu