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...
Main Authors: | Wu, Xuebing (Contributor), Bartel, David (Contributor) |
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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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Subjects: | |
Online Access: | Get fulltext |
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