kpLogo

KpLogo detects and visualizes ultra-short position-specific motifs (1–4 nucleotides or amino acids) from aligned sequences, leveraging ranked or weighted sequence information to reveal positional interdependencies.

Key Features:

• Ultra-short motif detection: Identifies motifs of 1–4 nucleotides or amino acids at specific positions within aligned sequences.
• Probability-based approach: Uses a probability-based method to score and detect motif enrichment.
• Position-specific analysis: Detects positional interdependencies among residues or bases within aligned sequences.
• Integration of ranked/weighted data: Leverages ranked or weighted sequence information typical of high-throughput assays.
• Motif visualization: Integrates detection results with visualization of position-specific ultra-short motifs.
• Compatibility with sequencing-derived data: Applies to data generated by modern high-throughput sequencing and selection assays.

Scientific Applications:

• Genomics: Analysis of short position-specific nucleotide motifs that influence DNA or RNA function.
• Proteomics: Identification of short amino-acid motifs at key positions that affect protein function.
• High-throughput assay analysis: Interpretation of ranked or weighted sequence outputs from selection or screening experiments.
• Motif interpretation: Exploration of sequence-specific biological phenomena driven by positional short motifs.

Methodology:

Applies a probability-based algorithm to sets of aligned sequences, using ranked or weighted sequence information to detect and visualize ultra-short (1–4 nt/aa) position-specific motifs and their positional interdependencies.