| 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 2958 sequences, 73950 residues
MOTIFS meme_out/meme.txt (DNA)
| MOTIF | WIDTH | BEST POSSIBLE MATCH |
|---|---|---|
| WWHAGGAGW | 9 | ATCAGGAGT |
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 |
|---|---|---|---|---|---|---|---|---|
| WWHAGGAGW | MEME-1 | Seq462 | - | 6 | 14 | 1.61e-05 | 1 | TACAGGAGT |
| WWHAGGAGW | MEME-1 | Seq1968 | + | 4 | 12 | 6.1e-05 | 1 | ATCAGGAGC |
| WWHAGGAGW | MEME-1 | Seq2637 | + | 10 | 18 | 6.1e-05 | 1 | ATCAGGAGC |
| WWHAGGAGW | MEME-1 | Seq1028 | + | 7 | 15 | 0.000133 | 1 | ATCTGGAGT |
| WWHAGGAGW | MEME-1 | Seq1135 | - | 12 | 20 | 0.000145 | 1 | TATAGGAGC |
| WWHAGGAGW | MEME-1 | Seq2621 | - | 8 | 16 | 0.000186 | 1 | AACCGGAGT |
| WWHAGGAGW | MEME-1 | Seq336 | - | 12 | 20 | 0.000186 | 1 | AACAGGAGG |
| WWHAGGAGW | MEME-1 | Seq1439 | + | 10 | 18 | 0.000274 | 1 | TTTTGGAGT |
| WWHAGGAGW | MEME-1 | Seq737 | - | 8 | 16 | 0.000365 | 1 | TTCTGGAGA |
| WWHAGGAGW | MEME-1 | Seq201 | + | 9 | 17 | 0.000384 | 1 | AAATGGAGT |
| WWHAGGAGW | MEME-1 | Seq2630 | + | 12 | 20 | 0.00041 | 1 | TTATGGAGT |
| WWHAGGAGW | MEME-1 | Seq1058 | - | 5 | 13 | 0.00041 | 1 | TTCCGGAGA |
| WWHAGGAGW | MEME-1 | Seq221 | - | 4 | 12 | 0.000433 | 1 | AAACGGAGT |
| WWHAGGAGW | MEME-1 | Seq2927 | + | 2 | 10 | 0.00048 | 1 | GACAGGAGC |
| WWHAGGAGW | MEME-1 | Seq1688 | + | 14 | 22 | 0.000487 | 1 | TTGAGGAGC |
| WWHAGGAGW | MEME-1 | Seq515 | + | 10 | 18 | 0.000502 | 1 | AATTGGAGA |
| WWHAGGAGW | MEME-1 | Seq2332 | - | 13 | 21 | 0.000502 | 1 | AATTGGAGA |
| WWHAGGAGW | MEME-1 | Seq809 | + | 16 | 24 | 0.000535 | 1 | TACTGGAGC |
| WWHAGGAGW | MEME-1 | Seq2802 | - | 10 | 18 | 0.00061 | 1 | TTTTGGAGC |
| WWHAGGAGW | MEME-1 | Seq2787 | - | 5 | 13 | 0.000624 | 1 | GTAAGGAGA |
| WWHAGGAGW | MEME-1 | Seq2175 | + | 7 | 15 | 0.000631 | 1 | GTCTGGAGT |
| WWHAGGAGW | MEME-1 | Seq2716 | + | 11 | 19 | 0.000631 | 1 | GTCTGGAGT |
| WWHAGGAGW | MEME-1 | Seq2433 | - | 7 | 15 | 0.000631 | 1 | GTGAGGAGT |
| WWHAGGAGW | MEME-1 | Seq2543 | + | 17 | 25 | 0.000696 | 1 | GAGAGGAGT |
| WWHAGGAGW | MEME-1 | Seq1179 | + | 17 | 25 | 0.000705 | 1 | CATAGGAGC |
| WWHAGGAGW | MEME-1 | Seq563 | + | 12 | 20 | 0.000719 | 1 | TTGTGGAGT |
| WWHAGGAGW | MEME-1 | Seq1843 | - | 16 | 24 | 0.000719 | 1 | AAACGGAGA |
| WWHAGGAGW | MEME-1 | Seq2115 | + | 8 | 16 | 0.000722 | 1 | ATCCGGAGG |
| WWHAGGAGW | MEME-1 | Seq478 | + | 15 | 23 | 0.000735 | 1 | AAGCGGAGT |
| WWHAGGAGW | MEME-1 | Seq234 | - | 2 | 10 | 0.000748 | 1 | ATATGGAGC |
| WWHAGGAGW | MEME-1 | Seq634 | - | 10 | 18 | 0.000772 | 1 | TAATGGAGA |
| WWHAGGAGW | MEME-1 | Seq2592 | - | 4 | 12 | 0.000782 | 1 | TTGCGGAGT |
| WWHAGGAGW | MEME-1 | Seq2232 | + | 8 | 16 | 0.000808 | 1 | CAAAGGAGA |
| WWHAGGAGW | MEME-1 | Seq2478 | + | 14 | 22 | 0.000808 | 1 | AAATGGAGC |
| WWHAGGAGW | MEME-1 | Seq499 | + | 13 | 21 | 0.000933 | 1 | TAACGGAGC |
| WWHAGGAGW | MEME-1 | Seq2054 | - | 10 | 18 | 0.00095 | 1 | GCCAGGAGA |
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.