kpLogo: k-mer probability logo

Upload input sequences (<2MB, fasta/tab) Or paste sequences below: (Load sample data)	Optional: upload background sequences (<2MB, fasta/tab) Or paste sequences below:
Sequence type
Weighted or Ranked
Optional: Email results to:

Options
Input
Tabular format	sequence in column weight in column
Sub-region	From position to position (0 or negative numbers interpreted as distance from the end)
Filter by k-mers	Keep sequences containing any of these kmers: e.g. G:5:0,C:8:1 Remove sequences containing any of these kmers:
k-mer
k-mer length	k = (to use larger k, please install kpLogo locally)
Degenerate residue
Positional shift	(by default no positional shift allowed) (caution: experimental feature)
Statistical model
Background model	Background sequences (please upload or paste) Shuffle each input sequence times preserving residue frequency Markov model learned from input sequences, choose model order: Markov model learned from background sequences, choose model order: Markov model, user defined: Average across all positions in input sequences
Min count/fraction	ignore kmers occur in too few or almost all sequences
Pseudo-count
Small sample	Correct for small sample size for information content logo
Output
P value cutoff	Positions containing residues with Bonferroni corrected P < will be highlighted by red coordinates
Fixation Frequency
Stacking order
Scale residues by
Kmer coordinates	Use the position of the last residue in a kmer as the position of the kmer. Default: the first residue
Position 1	Set the -th residue as position 1. The positions before it will be numbered as -1, -2, etc (no 0).
Color-blind	Use colorblind-friendly color scheme

Options