TY - JOUR T1 - <em>k</em>pLogo: positional <em>k</em>-mer analysis reveals hidden specificity in biological sequences JF - bioRxiv DO - 10.1101/102921 SP - 102921 AU - Xuebing Wu AU - David P. Bartel Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/01/25/102921.abstract N2 - 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. 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. ER -