FIMO Results

FIMO - Motif search tool

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]

DATABASE AND MOTIFS

  DATABASE meme_out/tye7_ana/tye7.ana.fa
  
  Database contains 5567 sequences, 1476776 residues

  MOTIFS meme_out/tye7_ana/dreme_out/dreme.xml (DNA)
  
        MOTIF
        WIDTH
        
         BEST POSSIBLE MATCH
        
        BTTCTTS
        7
        TTTCTTC
       
        YACCR
        5
        TACCA
       
        GAKGANGA
        8
        GATGATGA
       
        ATATWY
        6
        ATATTT
       
        GCTGCYR
        7
        GCTGCTA
       
        CYACTR
        6
        CTACTG
       
        GAARA
        5
        GAAAA
       
        TTGATRA
        7
        TTGATAA
       
        AATARTAA
        8
        AATAATAA
       
        CAATAHC
        7
        CAATATC
       
        CTRCTTC
        7
        CTACTTC
       
        AGAGCCAY
        8
        AGAGCCAT
       
Random model letter frequencies (meme_out/tye7_ana/background):

A 0.309 C 0.191 G 0.191 T 0.309

MOTIF	WIDTH	BEST POSSIBLE MATCH
BTTCTTS	7	TTTCTTC
YACCR	5	TACCA
GAKGANGA	8	GATGATGA
ATATWY	6	ATATTT
GCTGCYR	7	GCTGCTA
CYACTR	6	CTACTG
GAARA	5	GAAAA
TTGATRA	7	TTGATAA
AATARTAA	8	AATAATAA
CAATAHC	7	CAATATC
CTRCTTC	7	CTACTTC
AGAGCCAY	8	AGAGCCAT

SECTION I: HIGH-SCORING MOTIF OCCURENCES

There were 0 motif occurences with a p-value less than 0.0001. 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.

Motif ID	Alt ID	Sequence Name	Strand	Start	End	p-value	q-value	Matched Sequence

DEBUGGING INFORMATION

Command line:

/software/meme/4.12.0/bin/fimo --parse-genomic-coord --verbosity 1 --oc meme_out/tye7_ana/fimo_out_8 --bgfile meme_out/tye7_ana/background --motif GAARA meme_out/tye7_ana/dreme_out/dreme.xml meme_out/tye7_ana/tye7.ana.fa

Settings:


  
    output_directory = meme_out/tye7_ana/fimo_out_8
    MEME file name = meme_out/tye7_ana/dreme_out/dreme.xml
    sequence file name = meme_out/tye7_ana/tye7.ana.fa
  
  
    background file name = meme_out/tye7_ana/background
    alphabet = DNA
    max stored scores = 100000
  
  
    allow clobber = true
    compute q-values = true
    parse genomic coord. = true
  
  
    text only = false
    scan both strands = true
    max strand = false
  
  
    threshold type = p-value
    output theshold = 0.0001
    pseudocount = 0.1
  
  
    alpha = 1
    verbosity = 1

This information can be useful in the event you wish to report a problem with the FIMO software.

Go to top

output_directory = meme_out/tye7_ana/fimo_out_8	MEME file name = meme_out/tye7_ana/dreme_out/dreme.xml	sequence file name = meme_out/tye7_ana/tye7.ana.fa
background file name = meme_out/tye7_ana/background	alphabet = DNA	max stored scores = 100000
allow clobber = true	compute q-values = true	parse genomic coord. = true
text only = false	scan both strands = true	max strand = false
threshold type = p-value	output theshold = 0.0001	pseudocount = 0.1
alpha = 1	verbosity = 1