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Merge branch 'tidyomics-post' of https://github.com/tidyomics/tidyomicsBlog into tidyomics-post
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blog/content/post/2025-01-15-introducing-tidyomics-ecosystem/index.Rmd

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# Introduction
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The tidyomics ecosystem was born from a common challenge faced by life-scientists: every omics technology and framework in R seemed to require learning a new data structure and synthax. Switching from bulk RNA-seq to single-cell, or from expression data to genomic ranges, often felt climbing a different mountain. Tidyomics keeps the **underlying objects exactly the same** while giving them a single, tidyverse-flavoured grammar so that moving from bulk RNA-seq to single-cell or spatial data is no harder than shifting between two dplyr pipelines. Its design principles take inspiration from the tidyverse philosophy of clear, human-readable code as articulated by Wickham *et al.* (2019) ([JOSS 10.21105/joss.01686](https://joss.theoj.org/papers/10.21105/joss.01686)).
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The tidyomics ecosystem was born from a common challenge faced by life-scientists: every omics technology and framework in R seemed to require learning a new data structure and syntax. Switching from bulk RNA-seq to single-cell, or from expression data to genomic ranges, often felt climbing a different mountain. Tidyomics keeps the **underlying objects exactly the same** while giving them a single, tidyverse-flavoured grammar so that moving from bulk RNA-seq to single-cell or spatial data is no harder than shifting between two dplyr pipelines. Its design principles take inspiration from the tidyverse philosophy of clear, human-readable code as articulated by Wickham *et al.* (2019) ([JOSS 10.21105/joss.01686](https://joss.theoj.org/papers/10.21105/joss.01686)).
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That question snowballed into an international collaboration—and ultimately into `tidyomics`.
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