Motifs of only 1-4 letters can play important roles when present at key locations within macromolecules. Because existing motif-discovery tools typically miss these position-specific short motifs, we developed kpLogo, a probability-based logo tool for integrated detection and visualization of position-specific ultra-short motifs from a set of aligned sequences. kpLogo also overcomes the limitations of conventional motif-visualization tools in handling positional interdependencies and utilizing ranked or weighted sequences increasingly available from high-throughput assays. kpLogo can be found at http://kplogo.wi.mit.edu/.
Felix Nicolaus, Ane Metola, Daphne Mermans, Amanda Liljenström, Ajda Krč, Salmo Mohammed Abdullahi, Matthew Zimmer, Thomas F. Miller, Gunnar Von Heijne
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