Update blog/content/post/2025-01-15-introducing-tidyomics-ecosystem/index.qmd

Co-authored-by: Copilot <[email protected]>

Author: stemangiola

blog/content/post/2025-01-15-introducing-tidyomics-ecosystem/index.qmd

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 # Introduction
 
-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)).
+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)).
 
 That question snowballed into an international collaboration—and ultimately into **tidyomics**.