Bioinformatics Division, Walter and Eliza Hall Institute of Medical Research, Parkville, VIC, Australia.
Department of Medical Biology, University of Melbourne, Melbourne, VIC, Australia.
Genome Biol. 2021 Jan 22;22(1):42. doi: 10.1186/s13059-020-02233-7.
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 .
最近，人们致力于通过数据整洁性的概念来协调转录组数据结构和工作流程，以促进模块化。我们提出了 tidybulk，这是一个用于批量转录分析的模块化框架，它引入了整洁的转录组数据结构范例和分析语法。tidybulk 涵盖了各种各样的分析过程，并在一个通用框架下整合了大量公共可用的分析算法生态系统。tidybulk 减少了编码负担，提高了可重复性，提高了专家用户的效率，降低了新手用户的学习曲线，并将转录组数据分析与 tidyverse 联系起来。tidybulk 可在 R/Bioconductor bioconductor.org/packages/tidybulk 获得。
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