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tidybulk: an R tidy framework for modular transcriptomic data analysis

Recently, efforts have been made toward the harmonization of transcriptomic data structures and workflows using the concept of data tidiness, to facilitate modularisation. We present tidybulk, a modular framework for bulk transcriptional analyses that introduces a tidy transcriptomic data structure...

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Detalles Bibliográficos
Autores principales: Mangiola, Stefano, Molania, Ramyar, Dong, Ruining, Doyle, Maria A., Papenfuss, Anthony T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7821481/
https://www.ncbi.nlm.nih.gov/pubmed/33482892
http://dx.doi.org/10.1186/s13059-020-02233-7
Descripción
Sumario:Recently, efforts have been made toward the harmonization of transcriptomic data structures and workflows using the concept of data tidiness, to facilitate modularisation. We present tidybulk, a modular framework for bulk transcriptional analyses that introduces a tidy transcriptomic data structure paradigm and analysis grammar. Tidybulk covers a wide variety of analysis procedures and integrates a large ecosystem of publicly available analysis algorithms under a common framework. Tidybulk decreases coding burden, facilitates reproducibility, increases efficiency for expert users, lowers the learning curve for inexperienced users, and bridges transcriptional data analysis with the tidyverse. Tidybulk is available at R/Bioconductor bioconductor.org/packages/tidybulk. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-020-02233-7.