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InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites

SUMMARY: Recent studies have shown that the traditional position weight matrix model is often insufficient for modeling transcription factor binding sites, as intra-motif dependencies play a significant role for an accurate description of binding motifs. Here, we present the Java application InMoDe,...

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Detalles Bibliográficos
Autores principales: Eggeling, Ralf, Grosse, Ivo, Grau, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408807/
https://www.ncbi.nlm.nih.gov/pubmed/28035026
http://dx.doi.org/10.1093/bioinformatics/btw689
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author Eggeling, Ralf
Grosse, Ivo
Grau, Jan
author_facet Eggeling, Ralf
Grosse, Ivo
Grau, Jan
author_sort Eggeling, Ralf
collection PubMed
description SUMMARY: Recent studies have shown that the traditional position weight matrix model is often insufficient for modeling transcription factor binding sites, as intra-motif dependencies play a significant role for an accurate description of binding motifs. Here, we present the Java application InMoDe, a collection of tools for learning, leveraging and visualizing such dependencies of putative higher order. The distinguishing feature of InMoDe is a robust model selection from a class of parsimonious models, taking into account dependencies only if justified by the data while choosing for simplicity otherwise. AVAILABILITY AND IMPLEMENTATION: InMoDe is implemented in Java and is available as command line application, as application with a graphical user-interface, and as an integration into Galaxy on the project website at http://www.jstacs.de/index.php/InMoDe.
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spelling pubmed-54088072017-05-03 InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites Eggeling, Ralf Grosse, Ivo Grau, Jan Bioinformatics Applications Notes SUMMARY: Recent studies have shown that the traditional position weight matrix model is often insufficient for modeling transcription factor binding sites, as intra-motif dependencies play a significant role for an accurate description of binding motifs. Here, we present the Java application InMoDe, a collection of tools for learning, leveraging and visualizing such dependencies of putative higher order. The distinguishing feature of InMoDe is a robust model selection from a class of parsimonious models, taking into account dependencies only if justified by the data while choosing for simplicity otherwise. AVAILABILITY AND IMPLEMENTATION: InMoDe is implemented in Java and is available as command line application, as application with a graphical user-interface, and as an integration into Galaxy on the project website at http://www.jstacs.de/index.php/InMoDe. Oxford University Press 2017-02-15 2016-11-29 /pmc/articles/PMC5408807/ /pubmed/28035026 http://dx.doi.org/10.1093/bioinformatics/btw689 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial 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 Applications Notes
Eggeling, Ralf
Grosse, Ivo
Grau, Jan
InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites
title InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites
title_full InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites
title_fullStr InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites
title_full_unstemmed InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites
title_short InMoDe: tools for learning and visualizing intra-motif dependencies of DNA binding sites
title_sort inmode: tools for learning and visualizing intra-motif dependencies of dna binding sites
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5408807/
https://www.ncbi.nlm.nih.gov/pubmed/28035026
http://dx.doi.org/10.1093/bioinformatics/btw689
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