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TFutils: Data structures for transcription factor bioinformatics
DNA transcription is intrinsically complex. Bioinformatic work with transcription factors (TFs) is complicated by a multiplicity of data resources and annotations. The Bioconductor package TFutils includes data structures and functions to enhance the precision and utility of integrative analyses tha...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
F1000 Research Limited
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600865/ https://www.ncbi.nlm.nih.gov/pubmed/31297189 http://dx.doi.org/10.12688/f1000research.17976.2 |
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author | Stubbs, Benjamin J. Gopaulakrishnan, Shweta Glass, Kimberly Pochet, Nathalie Everaert, Celine Raby, Benjamin Carey, Vincent |
author_facet | Stubbs, Benjamin J. Gopaulakrishnan, Shweta Glass, Kimberly Pochet, Nathalie Everaert, Celine Raby, Benjamin Carey, Vincent |
author_sort | Stubbs, Benjamin J. |
collection | PubMed |
description | DNA transcription is intrinsically complex. Bioinformatic work with transcription factors (TFs) is complicated by a multiplicity of data resources and annotations. The Bioconductor package TFutils includes data structures and functions to enhance the precision and utility of integrative analyses that have components involving TFs. TFutils provides catalogs of human TFs from three reference sources (CISBP, HOCOMOCO, and GO), a catalog of TF targets derived from MSigDb, and multiple approaches to enumerating TF binding sites, including an interface to results of 690 ENCODE experiments. Aspects of integration of TF binding patterns and genome-wide association study results are explored in examples. |
format | Online Article Text |
id | pubmed-6600865 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | F1000 Research Limited |
record_format | MEDLINE/PubMed |
spelling | pubmed-66008652019-07-10 TFutils: Data structures for transcription factor bioinformatics Stubbs, Benjamin J. Gopaulakrishnan, Shweta Glass, Kimberly Pochet, Nathalie Everaert, Celine Raby, Benjamin Carey, Vincent F1000Res Software Tool Article DNA transcription is intrinsically complex. Bioinformatic work with transcription factors (TFs) is complicated by a multiplicity of data resources and annotations. The Bioconductor package TFutils includes data structures and functions to enhance the precision and utility of integrative analyses that have components involving TFs. TFutils provides catalogs of human TFs from three reference sources (CISBP, HOCOMOCO, and GO), a catalog of TF targets derived from MSigDb, and multiple approaches to enumerating TF binding sites, including an interface to results of 690 ENCODE experiments. Aspects of integration of TF binding patterns and genome-wide association study results are explored in examples. F1000 Research Limited 2019-05-17 /pmc/articles/PMC6600865/ /pubmed/31297189 http://dx.doi.org/10.12688/f1000research.17976.2 Text en Copyright: © 2019 Stubbs BJ et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Software Tool Article Stubbs, Benjamin J. Gopaulakrishnan, Shweta Glass, Kimberly Pochet, Nathalie Everaert, Celine Raby, Benjamin Carey, Vincent TFutils: Data structures for transcription factor bioinformatics |
title | TFutils: Data structures for transcription factor bioinformatics |
title_full | TFutils: Data structures for transcription factor bioinformatics |
title_fullStr | TFutils: Data structures for transcription factor bioinformatics |
title_full_unstemmed | TFutils: Data structures for transcription factor bioinformatics |
title_short | TFutils: Data structures for transcription factor bioinformatics |
title_sort | tfutils: data structures for transcription factor bioinformatics |
topic | Software Tool Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600865/ https://www.ncbi.nlm.nih.gov/pubmed/31297189 http://dx.doi.org/10.12688/f1000research.17976.2 |
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