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F-Seq: a feature density estimator for high-throughput sequence tags

Summary: Tag sequencing using high-throughput sequencing technologies are now regularly employed to identify specific sequence features, such as transcription factor binding sites (ChIP-seq) or regions of open chromatin (DNase-seq). To intuitively summarize and display individual sequence data as an...

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Detalles Bibliográficos
Autores principales: Boyle, Alan P., Guinney, Justin, Crawford, Gregory E., Furey, Terrence S.
Formato: Texto
Lenguaje:English
Publicado: Oxford University Press 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2732284/
https://www.ncbi.nlm.nih.gov/pubmed/18784119
http://dx.doi.org/10.1093/bioinformatics/btn480
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author Boyle, Alan P.
Guinney, Justin
Crawford, Gregory E.
Furey, Terrence S.
author_facet Boyle, Alan P.
Guinney, Justin
Crawford, Gregory E.
Furey, Terrence S.
author_sort Boyle, Alan P.
collection PubMed
description Summary: Tag sequencing using high-throughput sequencing technologies are now regularly employed to identify specific sequence features, such as transcription factor binding sites (ChIP-seq) or regions of open chromatin (DNase-seq). To intuitively summarize and display individual sequence data as an accurate and interpretable signal, we developed F-Seq, a software package that generates a continuous tag sequence density estimation allowing identification of biologically meaningful sites whose output can be displayed directly in the UCSC Genome Browser. Availability: The software is written in the Java language and is available on all major computing platforms for download at http://www.genome.duke.edu/labs/furey/software/fseq. Contact: terry.furey@duke.edu
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spelling pubmed-27322842009-08-27 F-Seq: a feature density estimator for high-throughput sequence tags Boyle, Alan P. Guinney, Justin Crawford, Gregory E. Furey, Terrence S. Bioinformatics Applications Note Summary: Tag sequencing using high-throughput sequencing technologies are now regularly employed to identify specific sequence features, such as transcription factor binding sites (ChIP-seq) or regions of open chromatin (DNase-seq). To intuitively summarize and display individual sequence data as an accurate and interpretable signal, we developed F-Seq, a software package that generates a continuous tag sequence density estimation allowing identification of biologically meaningful sites whose output can be displayed directly in the UCSC Genome Browser. Availability: The software is written in the Java language and is available on all major computing platforms for download at http://www.genome.duke.edu/labs/furey/software/fseq. Contact: terry.furey@duke.edu Oxford University Press 2008-11-01 2008-09-10 /pmc/articles/PMC2732284/ /pubmed/18784119 http://dx.doi.org/10.1093/bioinformatics/btn480 Text en © 2008 The Author(s) 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/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Note
Boyle, Alan P.
Guinney, Justin
Crawford, Gregory E.
Furey, Terrence S.
F-Seq: a feature density estimator for high-throughput sequence tags
title F-Seq: a feature density estimator for high-throughput sequence tags
title_full F-Seq: a feature density estimator for high-throughput sequence tags
title_fullStr F-Seq: a feature density estimator for high-throughput sequence tags
title_full_unstemmed F-Seq: a feature density estimator for high-throughput sequence tags
title_short F-Seq: a feature density estimator for high-throughput sequence tags
title_sort f-seq: a feature density estimator for high-throughput sequence tags
topic Applications Note
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2732284/
https://www.ncbi.nlm.nih.gov/pubmed/18784119
http://dx.doi.org/10.1093/bioinformatics/btn480
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