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PriorsEditor: a tool for the creation and use of positional priors in motif discovery

Summary: Computational methods designed to discover transcription factor binding sites in DNA sequences often have a tendency to make a lot of false predictions. One way to improve accuracy in motif discovery is to rely on positional priors to focus the search to parts of a sequence that are conside...

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Detalles Bibliográficos
Autores principales: Klepper, Kjetil, Drabløs, Finn
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2922893/
https://www.ncbi.nlm.nih.gov/pubmed/20628076
http://dx.doi.org/10.1093/bioinformatics/btq357
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author Klepper, Kjetil
Drabløs, Finn
author_facet Klepper, Kjetil
Drabløs, Finn
author_sort Klepper, Kjetil
collection PubMed
description Summary: Computational methods designed to discover transcription factor binding sites in DNA sequences often have a tendency to make a lot of false predictions. One way to improve accuracy in motif discovery is to rely on positional priors to focus the search to parts of a sequence that are considered more likely to contain functional binding sites. We present here a program called PriorsEditor that can be used to create such positional priors tracks based on a combination of several features, including phylogenetic conservation, nucleosome occupancy, histone modifications, physical properties of the DNA helix and many more. Availability: PriorsEditor is available as a web start application and downloadable archive from http://tare.medisin.ntnu.no/priorseditor (requires Java 1.6). The web site also provides tutorials, screenshots and example protocol scripts. Contact: kjetil.klepper@ntnu.no
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spelling pubmed-29228932010-08-30 PriorsEditor: a tool for the creation and use of positional priors in motif discovery Klepper, Kjetil Drabløs, Finn Bioinformatics Applications Note Summary: Computational methods designed to discover transcription factor binding sites in DNA sequences often have a tendency to make a lot of false predictions. One way to improve accuracy in motif discovery is to rely on positional priors to focus the search to parts of a sequence that are considered more likely to contain functional binding sites. We present here a program called PriorsEditor that can be used to create such positional priors tracks based on a combination of several features, including phylogenetic conservation, nucleosome occupancy, histone modifications, physical properties of the DNA helix and many more. Availability: PriorsEditor is available as a web start application and downloadable archive from http://tare.medisin.ntnu.no/priorseditor (requires Java 1.6). The web site also provides tutorials, screenshots and example protocol scripts. Contact: kjetil.klepper@ntnu.no Oxford University Press 2010-09-01 2010-07-13 /pmc/articles/PMC2922893/ /pubmed/20628076 http://dx.doi.org/10.1093/bioinformatics/btq357 Text en © The Author(s) 2010. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/2.0/uk/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Klepper, Kjetil
Drabløs, Finn
PriorsEditor: a tool for the creation and use of positional priors in motif discovery
title PriorsEditor: a tool for the creation and use of positional priors in motif discovery
title_full PriorsEditor: a tool for the creation and use of positional priors in motif discovery
title_fullStr PriorsEditor: a tool for the creation and use of positional priors in motif discovery
title_full_unstemmed PriorsEditor: a tool for the creation and use of positional priors in motif discovery
title_short PriorsEditor: a tool for the creation and use of positional priors in motif discovery
title_sort priorseditor: a tool for the creation and use of positional priors in motif discovery
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2922893/
https://www.ncbi.nlm.nih.gov/pubmed/20628076
http://dx.doi.org/10.1093/bioinformatics/btq357
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