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 MOA24_loss_diff.fa
  
  Database contains 1297 sequences, 31439 residues

  MOTIFS streme_out/streme.xml (DNA)
  
        MOTIF
        WIDTH
        
         BEST POSSIBLE MATCH
        
        1-RVAGRAAAWR
        10
        ACAGGAAAAG
       
        2-ATSGAATGGAATSGA
        15
        ATCGAATGGAATCGA
       
        3-TGAAAACA
        8
        TGAAAACA
       
        4-AKGCMT
        6
        AGGCCT
       
Random model letter frequencies (./background):

A 0.309 C 0.191 G 0.191 T 0.309

MOTIF	WIDTH	BEST POSSIBLE MATCH
1-RVAGRAAAWR	10	ACAGGAAAAG
2-ATSGAATGGAATSGA	15	ATCGAATGGAATCGA
3-TGAAAACA	8	TGAAAACA
4-AKGCMT	6	AGGCCT

SECTION I: HIGH-SCORING MOTIF OCCURENCES

There were 13 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-TGAAAACA	STREME-3	chr5	+	15687125	15687132	3.19e-05	0.282	TGAAAACA
3-TGAAAACA	STREME-3	chr11	+	18616161	18616168	3.19e-05	0.282	TGAAAACA
3-TGAAAACA	STREME-3	chr8	-	23942830	23942837	3.19e-05	0.282	TGAAAACA
3-TGAAAACA	STREME-3	chr9	-	85930312	85930319	3.19e-05	0.282	TGAAAACA
3-TGAAAACA	STREME-3	chr6	-	138943835	138943842	3.19e-05	0.282	TGAAAACA
3-TGAAAACA	STREME-3	chr4	-	6757808	6757815	6.37e-05	0.284	AGAAAACA
3-TGAAAACA	STREME-3	chr1	-	22989558	22989565	6.37e-05	0.284	AGAAAACA
3-TGAAAACA	STREME-3	chr11	-	105181855	105181862	6.37e-05	0.284	AGAAAACA
3-TGAAAACA	STREME-3	chr2	-	205071968	205071975	6.37e-05	0.284	AGAAAACA
3-TGAAAACA	STREME-3	chr16	+	34582253	34582260	8.34e-05	0.284	TGGAAACA
3-TGAAAACA	STREME-3	chr16	+	34586279	34586286	8.34e-05	0.284	TGGAAACA
3-TGAAAACA	STREME-3	chr16	+	46390368	46390375	8.34e-05	0.284	tggaaaca
3-TGAAAACA	STREME-3	chr18	+	68967802	68967809	8.34e-05	0.284	TGGAAACA

DEBUGGING INFORMATION

Command line:

fimo --verbosity 1 --oc fimo_out_3 --bgfile ./background --motif 3-TGAAAACA streme_out/streme.xml MOA24_loss_diff.fa

Settings:


  
    output_directory = fimo_out_3
    MEME file name = streme_out/streme.xml
    sequence file name = MOA24_loss_diff.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_3	MEME file name = streme_out/streme.xml	sequence file name = MOA24_loss_diff.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