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, Bartel, David
Other Authors: Massachusetts Institute of Technology. Computational and Systems Biology Program
Format: Article
Language:en_US
Published: Oxford University Press 2017
Online Access:http://hdl.handle.net/1721.1/110128
https://orcid.org/0000-0003-0369-5269
https://orcid.org/0000-0002-3872-2856