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BioinformaticsNucleic Acids Research
Peer-reviewed journal article

kpLogo: positional k-mer analysis reveals hidden specificity in biological sequences

Xuebing WuiD, David P. BarteliD

Abstract

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.

PDFDOI

02 /Specification & Classification

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