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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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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/. |
format | Online Article Text |
id | pubmed-5570168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT wuxuebing kplogopositionalkmeranalysisrevealshiddenspecificityinbiologicalsequences AT barteldavidp kplogopositionalkmeranalysisrevealshiddenspecificityinbiologicalsequences |