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

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 positi...

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Bibliographic Details
Main Authors: Wu, Xuebing (Contributor), Bartel, David (Contributor)
Other Authors: Massachusetts Institute of Technology. Computational and Systems Biology Program (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), Massachusetts Institute of Technology. Department of Biology (Contributor)
Format: Article
Language:English
Published: Oxford University Press, 2017-06-21T16:36:22Z.
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