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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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Detalles Bibliográficos
Autores principales: Wu, Xuebing, Bartel, David P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570168/
https://www.ncbi.nlm.nih.gov/pubmed/28460012
http://dx.doi.org/10.1093/nar/gkx323
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author Wu, Xuebing
Bartel, David P.
author_facet Wu, Xuebing
Bartel, David P.
author_sort Wu, Xuebing
collection PubMed
description 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 from a set of aligned sequences. 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. kpLogo can be found at http://kplogo.wi.mit.edu/.
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spelling pubmed-55701682017-08-29 kpLogo: positional k-mer analysis reveals hidden specificity in biological sequences Wu, Xuebing Bartel, David P. Nucleic Acids Res Web Server Issue 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 from a set of aligned sequences. 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. kpLogo can be found at http://kplogo.wi.mit.edu/. Oxford University Press 2017-07-03 2017-04-29 /pmc/articles/PMC5570168/ /pubmed/28460012 http://dx.doi.org/10.1093/nar/gkx323 Text en © The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server Issue
Wu, Xuebing
Bartel, David P.
kpLogo: positional k-mer analysis reveals hidden specificity in biological sequences
title kpLogo: positional k-mer analysis reveals hidden specificity in biological sequences
title_full kpLogo: positional k-mer analysis reveals hidden specificity in biological sequences
title_fullStr kpLogo: positional k-mer analysis reveals hidden specificity in biological sequences
title_full_unstemmed kpLogo: positional k-mer analysis reveals hidden specificity in biological sequences
title_short kpLogo: positional k-mer analysis reveals hidden specificity in biological sequences
title_sort kplogo: positional k-mer analysis reveals hidden specificity in biological sequences
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5570168/
https://www.ncbi.nlm.nih.gov/pubmed/28460012
http://dx.doi.org/10.1093/nar/gkx323
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