FIMO Results

FIMO - Motif search tool

FIMO version 5.5.5, (Release date: Thu Sep 14 08:48:04 2023 +1000)

For further information on how to interpret these results please access https://meme-suite.org/meme/doc/fimo-output-format.html.
To get a copy of the FIMO software please access https://meme-suite.org

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 cluster_3_coord_nodup.txt.fa
  
  Database contains 448 sequences, 13440 residues

  MOTIFS streme_out/streme.xml (DNA)
  
        MOTIF
        WIDTH
        
         BEST POSSIBLE MATCH
        
        1-CASCAG
        6
        CAGCAG
       
        2-RATGACTCAT
        10
        AATGACTCAT
       
        3-CASAGWKK
        8
        CACAGTTT
       
        4-CWGGAA
        6
        CTGGAA
       
Random model letter frequencies (./background):

A 0.253 C 0.247 G 0.247 T 0.253

MOTIF	WIDTH	BEST POSSIBLE MATCH
1-CASCAG	6	CAGCAG
2-RATGACTCAT	10	AATGACTCAT
3-CASAGWKK	8	CACAGTTT
4-CWGGAA	6	CTGGAA

SECTION I: HIGH-SCORING MOTIF OCCURENCES

There were 11 motif occurences with a p-value less than 0.0001. The full set of motif occurences can be seen in the TSV (tab-delimited values) output file fimo.tsv, the GFF3 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
3-CASAGWKK	STREME-3	chr1	-	58652760	58652767	1.52e-05	0.105	CACAGTGT
3-CASAGWKK	STREME-3	chr7	-	149985083	149985090	1.52e-05	0.105	CACAGTGT
3-CASAGWKK	STREME-3	chr6	+	8047654	8047661	3.09e-05	0.105	cacagttt
3-CASAGWKK	STREME-3	chr11	-	75627073	75627080	3.09e-05	0.105	CACAGTTT
3-CASAGWKK	STREME-3	chr11	+	119178470	119178477	3.09e-05	0.105	cacagttt
3-CASAGWKK	STREME-3	chr1	-	185368544	185368551	3.09e-05	0.105	CACAGTTT
3-CASAGWKK	STREME-3	chr2	-	119823945	119823952	4.62e-05	0.117	CACAGAGT
3-CASAGWKK	STREME-3	chr5	-	132283603	132283610	4.62e-05	0.117	CACAGAGT
3-CASAGWKK	STREME-3	chr6	+	50792075	50792082	6.14e-05	0.125	CAGAGTGT
3-CASAGWKK	STREME-3	chr3	+	169218570	169218577	6.14e-05	0.125	CAGAGTGT
3-CASAGWKK	STREME-3	chr16	-	3131957	3131964	7.62e-05	0.141	CACAGTGG

DEBUGGING INFORMATION

Command line:

fimo --verbosity 1 --oc fimo_out_4 --bgfile ./background --motif 3-CASAGWKK streme_out/streme.xml cluster_3_coord_nodup.txt.fa

Settings:


  
    output_directory = fimo_out_4
    MEME file name = streme_out/streme.xml
    sequence file name = cluster_3_coord_nodup.txt.fa
  
  
    background file name = ./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.

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output_directory = fimo_out_4	MEME file name = streme_out/streme.xml	sequence file name = cluster_3_coord_nodup.txt.fa
background file name = ./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