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 neg.fasta
Database contains 270 sequences, 27000 residues
MOTIFS meme_out/meme.txt (DNA)
MOTIF | WIDTH | BEST POSSIBLE MATCH |
---|---|---|
CRRCGACGAKGBVGWGSSMAGCGATGAGGAGVAGMDSSGC | 40 | CGGCGACGATGCAGAGCGCAGCGATGAGGAGGAGCAGCGC |
TCTTGCCTTTDACWTCBAYCA | 21 | TCTTGCCTTTTACTTCGATCA |
CVTWHHGATWATTAAVHNTWDRHTGTAADCSAADTVATAWCACG | 44 | CATATCGATAATTAAAAATAGAATGTAATCGAAGTCATAACACG |
Random model letter frequencies (--nrdb--):
A 0.282 C 0.222 G 0.229 T 0.267
Motif ID | Alt ID | Sequence Name | Strand | Start | End | p-value | q-value | Matched Sequence |
---|
Command line:
fimo --norc -motif CVTWHHGATWATTAAVHNTWDRHTGTAADCSAADTVATAWCACG -thresh 0.001 meme_out/meme.txt neg.fasta
Settings:
output_directory = fimo_out | MEME file name = meme_out/meme.txt | sequence file name = neg.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 = false | 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.