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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...

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Detalles Bibliográficos
Autores principales: Stubbs, Benjamin J., Gopaulakrishnan, Shweta, Glass, Kimberly, Pochet, Nathalie, Everaert, Celine, Raby, Benjamin, Carey, Vincent
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2019
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
Descripción
Sumario: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.