FIMO version 4.12.0, (Release date: Tue Jun 27 16:22:50 2017 -0700)

For further information on how to interpret these results or to get a copy of the FIMO software please access http://meme.nbcr.net

If you use FIMO in your research, please cite the following paper:
Charles E. Grant, Timothy L. Bailey, and William Stafford Noble, "FIMO: Scanning for occurrences of a given motif", Bioinformatics, 27(7):1017-1018, 2011. [full text]

• There were 1800 motif occurences with a p-value less than 0.0001. Only the most significant 1000 matches are shown here. The full set of motif occurences can be seen in the tab-delimited plain text output file fimo.txt, the GFF file fimo.gff which may be suitable for uploading to the UCSC Genome Table Browser (assuming the FASTA input sequences included genomic coordinates in UCSC or Galaxy format), or the XML file fimo.xml.
• The p-value of a motif occurrence is defined as the probability of a random sequence of the same length as the motif matching that position of the sequence with as good or better a score.
• The score for the match of a position in a sequence to a motif is computed by summing the appropriate entries from each column of the position-dependent scoring matrix that represents the motif.
• The q-value of a motif occurrence is defined as the false discovery rate if the occurrence is accepted as significant.
• The table is sorted by increasing p-value.