RT Journal Article SR Electronic T1 kpLogo: positional k-mer analysis reveals hidden specificity in biological sequences JF bioRxiv FD Cold Spring Harbor Laboratory SP 102921 DO 10.1101/102921 A1 Xuebing Wu A1 David P. Bartel YR 2017 UL http://biorxiv.org/content/early/2017/01/25/102921.abstract AB 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.