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.