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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
Descripción
Sumario: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.