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The name of the motif uses the IUPAC codes for nucleotides which has a different letter to represent each of the 15 possible combinations.

The name is itself a representation of the motif though the position weight matrix is not directly equalivant as it is generated from the sites found that matched the letters given in the name.

Read more about the MEME suite's use of the IUPAC alphabets.

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The E-value is the enrichment p-value times the number of candidate motifs tested.

The enrichment p-value is calculated using Fisher's Exact Test for enrichment of the motif in the positive sequences.

Note that the counts used in Fisher's Exact Test are made after erasing sites that match previously found motifs.

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The E-value of the motif calculated without erasing the sites of previously found motifs.

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Show more information on the motif.

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Submit your motif to another MEME Suite program or download your motif.

Supported Programs
Tomtom
Tomtom is a tool for searching for similar known motifs.
MAST
MAST is a tool for searching biological sequence databases for sequences that contain one or more of a group of known motifs.
FIMO
FIMO is a tool for searching biological sequence databases for sequences that contain one or more known motifs.
GOMO
GOMO is a tool for identifying possible roles (Gene Ontology terms) for DNA binding motifs.
SpaMo
SpaMo is a tool for inferring possible transcription factor complexes by finding motifs with enriched spacings.
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# positive sequences matching the motif / # positive sequences.

Note these counts are made after erasing sites that match previously found motifs.

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# negative sequences matching the motif / # negative sequences.

Note these counts are made after erasing sites that match previously found motifs.

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The p-value of Fisher's Exact Test for enrichment of the motif in the positive sequences.

Note that the counts used in Fisher's Exact Test are made after erasing sites that match previously found motifs.

[close ]

The E-value is the motif p-value times the number of candidate motifs tested.

Note that the p-value was calculated with counts made after erasing sites that match previously found motifs.

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The E-value of the motif calculated without erasing the sites of previously found motifs.

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All words matching the motif whose uncorrected p-value is less than .

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# positive sequences with matches to the word / # positive sequences.

Note these counts are made after erasing sites that match previously found motifs.

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# negative sequences with matches to the word / # negative sequences.

Note these counts are made after erasing sites that match previously found motifs.

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The p-value of Fisher's Exact Test for enrichment of the word in the positive sequences.

Note that the counts used in Fisher's Exact Test are made after erasing sites that match previously found motifs.

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The word p-value times the number of candidates tested.

Note that the p-value was calculated with counts made after erasing sites that match previously found motifs.

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The sequence file used by DREME to find the motifs.

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The alphabet of the sequences.

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The count of the sequences.

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The name of the alphabet symbol.

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The frequency of the alphabet symbol in the control dataset.

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Details

Positives
Negatives
P-value
E-value
Unerased E-value
/ /

Enriched Matching Words

For further information on how to interpret these results or to get a copy of the MEME software please access http://meme.nbcr.net.

If you use DREME in your research please cite the following paper:
Timothy L. Bailey, "DREME: Motif discovery in transcription factor ChIP-seq data", Bioinformatics, 27(12):1653-1659, 2011. [full text]

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Discovered Motifs

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Sequences

Source
Alphabet
Sequence Count

Control Sequences

Source
Sequence Count

Background

Other Settings

Strand Handling This alphabet only has one strand Only the given strand is processed Both the given and reverse complement strands are processed
# REs to Generalize
Shuffle Seed
E-value Threshold
Max Motif Count
Max Run Time
Previous Top
DREME version
(Release date: )
Reference
Timothy L. Bailey, "DREME: Motif discovery in transcription factor ChIP-seq data", Bioinformatics, 27(12):1653-1659, 2011. [full text]
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