Database and Motifs | High-scoring Motif Occurences | Debugging Information | Results in TSV Format | Results in GFF3 Format |
FIMO version 5.5.1, (Release date: Sun Jan 29 10:33:12 2023 -0800)
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 NEGATIVE.fasta
Database contains 4482 sequences, 112025 residues
MOTIFS meme_out/meme.txt (DNA)
MOTIF | WIDTH | BEST POSSIBLE MATCH |
---|---|---|
MWGGAG | 6 | CAGGAG |
Random model letter frequencies (--nrdb--):
A 0.275 C 0.225 G 0.225 T 0.275
Motif ID | Alt ID | Sequence Name | Strand | Start | End | p-value | q-value | Matched Sequence |
---|---|---|---|---|---|---|---|---|
MWGGAG | MEME-1 | Seq4456 | + | 6 | 11 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq1480 | - | 4 | 9 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq1062 | + | 10 | 15 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq2813 | - | 9 | 14 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq2045 | - | 9 | 14 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq3997 | - | 10 | 15 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq3895 | + | 16 | 21 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq1700 | + | 16 | 21 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq2670 | - | 13 | 18 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq2885 | + | 18 | 23 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq1333 | + | 19 | 24 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq98 | + | 19 | 24 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq1670 | - | 16 | 21 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq799 | - | 19 | 24 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq3803 | - | 19 | 24 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq1108 | - | 20 | 25 | 0.000195 | 1 | CAGGAG |
MWGGAG | MEME-1 | Seq4025 | + | 7 | 12 | 0.000432 | 1 | AAGGAG |
MWGGAG | MEME-1 | Seq640 | - | 4 | 9 | 0.000432 | 1 | AAGGAG |
MWGGAG | MEME-1 | Seq1923 | - | 9 | 14 | 0.000432 | 1 | AAGGAG |
MWGGAG | MEME-1 | Seq2851 | - | 10 | 15 | 0.000432 | 1 | AAGGAG |
MWGGAG | MEME-1 | Seq2558 | - | 11 | 16 | 0.000432 | 1 | AAGGAG |
MWGGAG | MEME-1 | Seq3958 | - | 13 | 18 | 0.000432 | 1 | AAGGAG |
MWGGAG | MEME-1 | Seq1795 | + | 20 | 25 | 0.000432 | 1 | AAGGAG |
MWGGAG | MEME-1 | Seq341 | - | 16 | 21 | 0.000432 | 1 | AAGGAG |
MWGGAG | MEME-1 | Seq3918 | - | 18 | 23 | 0.000432 | 1 | AAGGAG |
MWGGAG | MEME-1 | Seq1926 | - | 18 | 23 | 0.000432 | 1 | AAGGAG |
MWGGAG | MEME-1 | Seq922 | - | 20 | 25 | 0.000432 | 1 | AAGGAG |
MWGGAG | MEME-1 | Seq2822 | - | 20 | 25 | 0.000432 | 1 | AAGGAG |
MWGGAG | MEME-1 | Seq4053 | + | 3 | 8 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq1801 | + | 4 | 9 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq3886 | + | 4 | 9 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq801 | + | 4 | 9 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq1057 | + | 4 | 9 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq873 | + | 8 | 13 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq4178 | + | 8 | 13 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq850 | + | 9 | 14 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq1235 | - | 4 | 9 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq81 | + | 12 | 17 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq755 | + | 12 | 17 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq2005 | + | 12 | 17 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq1902 | + | 14 | 19 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq2459 | + | 14 | 19 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq3951 | + | 15 | 20 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq471 | + | 15 | 20 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq2618 | - | 10 | 15 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq4012 | - | 10 | 15 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq3482 | - | 11 | 16 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq431 | + | 16 | 21 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq3815 | - | 14 | 19 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq1511 | - | 14 | 19 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq2372 | - | 14 | 19 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq1108 | - | 14 | 19 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq591 | + | 19 | 24 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq212 | + | 20 | 25 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq2975 | - | 15 | 20 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq582 | - | 16 | 21 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq3792 | - | 19 | 24 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq4308 | - | 19 | 24 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq4057 | - | 19 | 24 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq4177 | - | 19 | 24 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq3199 | - | 20 | 25 | 0.000627 | 1 | CTGGAG |
MWGGAG | MEME-1 | Seq3891 | + | 6 | 11 | 0.000821 | 1 | GAGGAG |
MWGGAG | MEME-1 | Seq4029 | - | 8 | 13 | 0.000821 | 1 | GAGGAG |
MWGGAG | MEME-1 | Seq3857 | - | 9 | 14 | 0.000821 | 1 | GAGGAG |
MWGGAG | MEME-1 | Seq2245 | + | 15 | 20 | 0.000821 | 1 | GAGGAG |
MWGGAG | MEME-1 | Seq3535 | - | 12 | 17 | 0.000821 | 1 | GAGGAG |
MWGGAG | MEME-1 | Seq3985 | + | 19 | 24 | 0.000821 | 1 | GAGGAG |
MWGGAG | MEME-1 | Seq1380 | - | 14 | 19 | 0.000821 | 1 | GAGGAG |
MWGGAG | MEME-1 | Seq2887 | - | 15 | 20 | 0.000821 | 1 | GAGGAG |
MWGGAG | MEME-1 | Seq4221 | - | 15 | 20 | 0.000821 | 1 | GAGGAG |
MWGGAG | MEME-1 | Seq479 | - | 15 | 20 | 0.000821 | 1 | GAGGAG |
MWGGAG | MEME-1 | Seq3199 | - | 17 | 22 | 0.000821 | 1 | GAGGAG |
MWGGAG | MEME-1 | Seq3966 | - | 20 | 25 | 0.000821 | 1 | GAGGAG |
Command line:
fimo --oc fimo_neg -thresh 0.001 meme_out/meme.txt NEGATIVE.fasta
Settings:
output_directory = fimo_neg | MEME file name = meme_out/meme.txt | sequence file name = NEGATIVE.fasta |
background file name = --nrdb-- | alphabet = DNA | max stored scores = 100000 |
allow clobber = true | compute q-values = true | parse genomic coord. = false |
text only = false | scan both strands = true | max strand = false |
threshold type = p-value | output theshold = 0.001 | pseudocount = 0.1 |
alpha = 1 | verbosity = 2 |
This information can be useful in the event you wish to report a problem with the FIMO software.