CRP binding sites in E. coli
Explore an E. coli transcription factor binding motif.
Make a sequence logo from aligned sites or a motif matrix and download it for your paper.
49 sequences · FASTA · 22 positions · DNA
Start with an example and adapt it to your data.
Explore an E. coli transcription factor binding motif.
Plot a position frequency matrix for CTCF.
Inspect the acceptor window around a splice junction.
See how small-sample correction affects 19 sites.
View residue conservation in a protein DNA-binding motif.
Compare residues around human signal peptide cleavage sites.
Turn aligned sites or a motif matrix into a figure in four steps.
Paste aligned sequences or a matrix, or import a file.
Show information in bits or show letter probabilities.
Set the position numbers and choose colors.
Download PNG or SVG; use SVG in a Figran multi-panel figure.
Paste aligned sequences or a motif matrix in any of these formats.
| Format | Example | Common source | How it is read |
|---|---|---|---|
| Aligned sites | ACGT | MEME / HOMER | One aligned sequence per line |
| FASTA | >site1 | FASTA | Headers identify sequences; lowercase letters are retained and converted to uppercase. |
| Clustal / Stockholm | CLUSTAL | Clustal / MAFFT | Sequence blocks are combined by name. |
| JASPAR | A [ 1 2 ] | JASPAR | Counts / Frequencies |
| TRANSFAC | P0 A C G T | TRANSFAC | Counts |
| MEME | ALPHABET= ACGT | MEME | Frequencies |
| Table | A C G T | CSV / TSV | One row per letter or position. |
Each stack is one position; the relative heights show the letters observed there.
N = alphabet size; H = Shannon entropy at this position; e(n) = small-sample correction.
In bits, the total stack height shows information relative to the background. In probability, each nonempty stack sums to one.
References: Schneider & Stephens 1990 · Schneider et al. 1986 · Crooks et al. 2004
Bits measure the information at a position. With an equal background, DNA has at most 2 bits and protein has at most log₂20, approximately 4.32 bits; letter heights are proportional to frequency.
Small-sample correction reduces the upward bias caused by estimating information from few observations. It can be turned off and requires counts. For a nonuniform GC background, this tool uses relative entropy without that correction.
Yes. Paste a JASPAR, TRANSFAC, MEME or tabular matrix. Counts, frequencies and log₂ odds can be selected; log odds are converted to probabilities using the background.
Bits show conservation, while a probability logo makes composition easier to compare at positions with low information.
Both show sequence logos, with different options for calculating information. This tool updates locally and reads JASPAR and MEME matrices; WebLogo offers error bars and more units. Your sequences and matrices stay in your browser.
The classic DNA scheme colors A green, C blue, G orange and T red. Protein chemistry colors group residues by chemical properties; other schemes and custom colors are available.
Gaps and characters outside the selected alphabet are excluded from counts and sample size. For DNA and RNA, this includes N; Sequence Alignment Viewer counts N in its logo, so nucleotide columns containing N can differ. Protein N is counted as asparagine. Occupancy scaling is optional.
No. For reproducible scripts, ggseqlogo and seqLogo for R or Logomaker for Python are other options. You can export a probability matrix here.
Yes. Use Sequence Alignment Viewer to export a logo track with the alignment.
Turn aligned sequences or a motif matrix into a figure.
Make your sequence logo