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TFBSTools: an R/bioconductor package for transcription factor binding site analysis

Summary: The ability to efficiently investigate transcription factor binding sites (TFBSs) genome-wide is central to computational studies of gene regulation. TFBSTools is an R/Bioconductor package for the analysis and manipulation of TFBSs and their associated transcription factor profile matrices....

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Detalles Bibliográficos
Autores principales: Tan, Ge, Lenhard, Boris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4866524/
https://www.ncbi.nlm.nih.gov/pubmed/26794315
http://dx.doi.org/10.1093/bioinformatics/btw024
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author Tan, Ge
Lenhard, Boris
author_facet Tan, Ge
Lenhard, Boris
author_sort Tan, Ge
collection PubMed
description Summary: The ability to efficiently investigate transcription factor binding sites (TFBSs) genome-wide is central to computational studies of gene regulation. TFBSTools is an R/Bioconductor package for the analysis and manipulation of TFBSs and their associated transcription factor profile matrices. TFBStools provides a toolkit for handling TFBS profile matrices, scanning sequences and alignments including whole genomes, and querying the JASPAR database. The functionality of the package can be easily extended to include advanced statistical analysis, data visualization and data integration. Availability and implementation: The package is implemented in R and available under GPL-2 license from the Bioconductor website (http://bioconductor.org/packages/TFBSTools/). Contact: ge.tan09@imperial.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online.
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spelling pubmed-48665242016-05-16 TFBSTools: an R/bioconductor package for transcription factor binding site analysis Tan, Ge Lenhard, Boris Bioinformatics Applications Notes Summary: The ability to efficiently investigate transcription factor binding sites (TFBSs) genome-wide is central to computational studies of gene regulation. TFBSTools is an R/Bioconductor package for the analysis and manipulation of TFBSs and their associated transcription factor profile matrices. TFBStools provides a toolkit for handling TFBS profile matrices, scanning sequences and alignments including whole genomes, and querying the JASPAR database. The functionality of the package can be easily extended to include advanced statistical analysis, data visualization and data integration. Availability and implementation: The package is implemented in R and available under GPL-2 license from the Bioconductor website (http://bioconductor.org/packages/TFBSTools/). Contact: ge.tan09@imperial.ac.uk Supplementary information: Supplementary data are available at Bioinformatics online. Oxford University Press 2016-05-15 2016-01-21 /pmc/articles/PMC4866524/ /pubmed/26794315 http://dx.doi.org/10.1093/bioinformatics/btw024 Text en © The Author 2016. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Applications Notes
Tan, Ge
Lenhard, Boris
TFBSTools: an R/bioconductor package for transcription factor binding site analysis
title TFBSTools: an R/bioconductor package for transcription factor binding site analysis
title_full TFBSTools: an R/bioconductor package for transcription factor binding site analysis
title_fullStr TFBSTools: an R/bioconductor package for transcription factor binding site analysis
title_full_unstemmed TFBSTools: an R/bioconductor package for transcription factor binding site analysis
title_short TFBSTools: an R/bioconductor package for transcription factor binding site analysis
title_sort tfbstools: an r/bioconductor package for transcription factor binding site analysis
topic Applications Notes
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4866524/
https://www.ncbi.nlm.nih.gov/pubmed/26794315
http://dx.doi.org/10.1093/bioinformatics/btw024
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