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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,...
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/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. |
format | Online Article Text |
id | pubmed-5408807 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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