Choose whether or not to provide control sequences to AME.

If you choose "Shuffled input sequences", AME will create control sequences for you by shuffling the letters in each of your input sequences, preserving 2-mers.

If you provide control sequences, they should have a similar length distribution to that of your primary sequences or motif enrichment p-values will be inaccurate.

If you choose "NONE", then AME will assume that your sequences are either sorted according to some secondary criterion, or that they each contain a number (a 'FASTA score') in their FASTA header line. AME will sort your sequences in increasing order of FASTA score and compute the enrichment of each motif in sequences at the beginning of the sorted list. The FASTA header line should have the format:

>seq_name fasta_score other_text

Use the menu below to choose how you wish to input your primary sequences.

Note 1: The sequences may have differing lengths.

Use the menu below to choose how you wish to input your control sequences.

Note 1: The sequences may have differing lengths.

Using the menu below, select the way you want to input motifs that will be tested for enrichment in your input sequences. Use the first menu below to choose how you want to input the motifs, and the second menu to choose the particular motif database you require.

Select the statistical test for testing motif enrichment.

• Fisher's exact test - one-tailed Fisher's exact test (1)
• Ranksum test - one-tailed Wilcoxon rank-sum test, also known as the Mann-Whitney U test (1)
• Pearson CC - significance of the correlation of sequence PWM scores and FASTA scores (3)
• Spearman CC - significance of the correlation of sequence PWM score ranks and FASTA score ranks
• 3dmhg - 3-dimensional multi-hypergeometric test (2)
• 4dmhg - 4-dimensional multi-hypergeometric test (2)

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(1) These tests allow control sequences.

(2) These tests require the "totalhits" sequence scoring method.

(3) This test requires FASTA scores in the sequence header lines.

Choose how a single sequence is scored for matches to a single motif. The 'PWM score' assigned to a sequence is either:

• Average odds score - the average PWM motif score of the sequence (note: 'motif scores' are odds scores, not log-odds scores as in some other MEME Suite tools)
• Maximum odds score - the maximum motif score of the sequence
• Total odds score - the sum of the motif scores of the sequence
• Total hits - the total number of positions in the sequence whose motif score is greater than the "hit threshold" for the motif

The "hit threshold" for a motif is defined as this fraction times the maximum possible log-odds score for the motif. A position is considered a "hit" if the log-odds score is greater than or equal to the "hit threshold".

Threshold for reporting enriched motifs. Only motifs with enrichment E-values no greater than this number will be reported in AME's output. (The E-value is the motif p-value multiplied by the the number of motifs in the input.)
Reduce the threshold value if you want AME to report fewer, more significantly enriched motifs. Set the threshold value to the total number of motifs in your input if you want AME to report the enrichment of all input motifs.

Select the size of the k-mer to preserve the frequencies of when shuffling the letters of sequences to create the background sequences. Selecting a value of 1 may work better than the default (kmer=2) in some cases. Be wary of setting the k-mer to less than 2 if the primary sequences contain long runs of a single letter, as is the case with repeat-masked sequences.

The background model normalizes for biased distribution of single letters in the sequences. By default AME will create a 0-order Markov sequence model from the letter frequencies in the primary sequences. You may also choose to use a uniform background model or to use the background model specified by the motifs.

Alternately you may select "Upload background" and input a file containing a background model.

The downloadable version of the MEME Suite contains a program named "fasta-get-markov" that you can use to create background model files in the correct format from FASTA sequence files.

If your sequences are not in a standard alphabet (DNA, RNA or protein), you must input a custom alphabet file.

Click on the menu at the left to see which of the following motif input methods are available.

Type in motifs

When this option is available you may directly input multiple motifs by typing them (or using "cut-and-paste").  First select the desired motif alphabet using the menu immediately to the left. If you select the "Custom" option then you must provide an alphabet definition in the file input that immediately follows. Warning: custom alphabets are case-sensitive.  You may optionally give each motif an identifier and alternate name by inputting a line like >Identifer Alternate-Name preceeding the motif.  You can then enter each motif as either matrices, sequence sites or regular expressions.  You can enter multiple motifs by typing an empty line after each motif.  Individual motifs will be shown in square brackets, and errors in your motifs will be highlighted in red while warnings will be highlighted in yellow.  Mouse-over individual motifs to display their sequence logos.  View the examples for more information on what is possible.

Upload motifs

When this option is available you may upload a file containing motifs in MEME motif format.  This includes the outputs generated by MEME and DREME, as well as files you create using the motif conversion scripts or manually following the MEME motif format guidelines.

Databases (select category)

When this option is available you can select the category of motif database desired from the list below it. Then select the motif database from the displayed list.  Consult the motif database documentation for descriptions of all the motif databases present on this MEME Suite server.

Submitted motifs

This option is only available when you have invoked the current program by clicking on a button in the output report of a different MEME Suite program.  By selecting this option you will input the motifs sent by that program.

Typed Motifs - Matrices

You may input both probability and count matrices of either orientation and the rules described below will be used to convert the matrix into a MEME formatted motif.

Alphabet Order

The counts/probabilities are expected to be ordered based on the alphabetical ordering of their codes.  So DNA is ordered ACGT and protein is ordered ACDEFGHIKLMNPQRSTVWY. For custom alphabets the ordering goes uppercase letters (A-Z), lowercase letters (a-z), numbers (0-9) and finally the symbols '*', '-' and '.'.

Matrix Orientation

Matrix motifs may be input with either one position per row (preferred) which is called row orientation, or one position per column which is called column orientation.  The orientation is determined by picking which dimension (row or column) is equal to the alphabet size.  If both dimensions are equal to the alphabet size then row orientation is assumed.  If neither dimension is equal to the alphabet size then the closest that is still smaller than the alphabet size is picked, however if both are equally smaller then column orientation is assumed.  Finally if none of the above rules work to determine the orientation then row orientation is assumed.

Site counts

Once the orientation is determined, the sum of the numbers that make up the first position is calculated and rounded to the nearest integer.  If that value is larger than 1 then the matrix is assumed to be a count matrix and that value is used as the site count, otherwise the matrix is assumed to be a probability matrix and a site count of 20 is used.

Converting to a normalized probability matrix

Once the orientation is determined then each number in the matrix is converted to a normalized probability by dividing by the sum of all the numbers for that motif position.  If any numbers are missing they are assumed to have the value zero.  As a special case if all numbers in a motif position have the value zero then they are given the uniform probability of 1 / alphabet size.

Yellow highlighting and red annotations

Red asterisks (*) indicate where the parser thinks values are missing.  A yellow highlighted row or column with a red number at the end indicates that the counts for that position don't sum to the same count as the first position. The red number shows the difference. If the red number is negative then that position sums to less then the first position, if it is positive then it sums to more than the first position.

Typed Motifs - Sequence Sites or Regular Expressions

You may input one or more sites of the motif including using ambiguity codes or bracket expressions to represent multiple possibilities for a single motif position.

Ambiguity Codes

The DNA and protein alphabets include additional codes that represent multiple possible bases. For example the DNA alphabet includes W (for weak) which represents that the given position could be either a A (for adenosine) or a T (for thymidine).

Bracket Expressions

Bracket expressions also group together multiple codes so they share a single position.  Their syntax is a opening square bracket '[' followed by one or more codes and a closing square bracket ']'. For example with a DNA motif the bracket expression [AT] means that both A and T are acceptable and is equivalent to the ambiguity code W.  Any repeats of a base in a bracket expression are ignored so for example a DNA bracket expression [AAT] has the same effect as [AT] or [AW] or W.

Multiple sites

When only one site is provided the site count is set to 20, however you can precisely control the motif by providing multiple sites.  Each of these sites can still contain ambiguity codes and bracket expressions but a single count will be divided among the selected bases for each position.  When multiple sites are provided the site count will be set to the number of sites provided.

DNA Alphabet

DNA motifs support the standard 4 codes for the bases: adenosine (A), cytidine (C), guanosine (G) and thymidine (T) as well as supporting the following ambiguity codes.

Protein Alphabet

Protein motifs support the standard 20 codes for the amino acids: Alanine (A), Arginine (R), Asparagine (N), Aspartic acid (D), Cysteine (C), Glutamic acid (E), Glutamine (Q), Glycine (G), Histidine (H), Isoleucine (I), Leucine (L), Lysine (K), Methionine (M), Phenylalanine (F), Proline (P), Serine (S), Threonine (T), Tryptophan (W), Tyrosine (Y) and Valine (V) as well as supporting the following ambiguity codes.

Note that the two amino acids Selenocysteine (U) and Pyrrolysine (O) are not supported by the MEME Suite.

Typed Motifs - Examples

Single site motif using ambiguity codes N and R or bracket expressions. These give an approximation of the other motifs below.

Multiple site motif. This lists all 28 sites and gives the same result as the count matrix below.

Count matrix motif showing row and column orientations.

Note that all of these can be used with an identifier and alternate name like these 3 count matrix motifs from Jaspar.

When enabled this field supports selecting motifs from the file with a space separated list of motif identifiers and/or their positions in the file.

Any numbers in the range 1 to 999 are assumed to refer to the position of the selected motif in the file, so the entry "3" always refers to the third motif.  Any other entry is assumed to be a motif identifier.

Motif identifiers can not start with a dash and can only contain alphanumeric characters as well as colon ':', underscore '_', dot '.' and dash '-'.

Select the desired motif database.

Consult the motif database documentation for descriptions of all the DNA, RNA and protein motif databases present on this MEME Suite server.

This option can help change the alphabet of motifs from a base alphabet to a derived alphabet.

This might be useful if you need to compare an extended DNA motif with a library of DNA motifs, or if you wish to compare RNA motifs to DNA motifs.  Note that this option will also let you do nonsensical things like compare Protein motifs to DNA motifs so use it with care.

The derived alphabet must have all the core symbols of the alphabet that it is derived from. For example if the alphabet is derived from DNA it must have ACGT as core symbols. Expanding the alphabet adds frequencies of zero for every symbol in the derived alphabet that did not exist in the base alphabet.

Type in sequences

When this option is available you may directly input multiple sequences by typing them. Sequences must be input in FASTA format.

Upload sequences

When this option is available you may upload a file containing sequences in FASTA format.

Upload BED file

When this option is available you may upload a file containing sequence coordinates in BED format.

Databases (select category)

When this option is available you may first select a category of sequence database from the list below it. Two additional menus will then appear where you can select the particular database and version desired, respectively. The full list of available sequence databases and their descriptions can be viewed HERE.

Submitted sequences

This option is only available when you have invoked the current program by clicking on a button in the output report of a different MEME Suite program. By selecting this option you will input the sequences sent by that program.

Specify a file to upload containing sequence coordinates in BED format. The file must be based on the exact genome version you specified in the menus above.

Select an available sequence database from this menu.

Select an available version of the sequence database from this menu.

Select an available tissue/cell-specificity from this menu.

Selecting this option will filter the sequence menu to only contain databases that have additional information that is specific to a tissue or cell line.

This option causes MEME Suite to use tissue/cell-specific information (typically from DNase I or histone modification ChIP-seq data) encoded as a position specific prior that has been created by the MEME Suite create-priors utility. You can see a description of the sequence databases for which we provide tissue/cell-specific priors here.

Note that you cannot upload or type in your own sequences when tissue/cell-specific scanning is selected.

Enter the email address where you want the job notification email to be sent. Please check that this is a valid email address!

The notification email will include a link to your job results.

Note: You can also access your jobs via the Recent Jobs menu on the left of all MEME Suite input pages. That menu only keeps track of jobs submitted during the current session of your internet browser.

Note: Most MEME Suite servers only store results for a couple of days. So be sure to download any results you wish to keep.

Enter text naming or describing this analysis. The job description will be included in the notification email you receive and in the job output.