PT  - JOURNAL ARTICLE
AU  - Xuebing Wu
AU  - David P. Bartel
TI  - <em>k</em>pLogo: positional <em>k</em>-mer analysis reveals hidden specificity in biological sequences
AID  - 10.1101/102921
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 102921
4099  - http://biorxiv.org/content/early/2017/01/25/102921.short
4100  - http://biorxiv.org/content/early/2017/01/25/102921.full
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.