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+---
+title: "Outcomes from EuroBioC2026 Tidyomics Hackathon"
+author: "Juan Henao"
+date: "2026-07-20"
+package: tidyomics
+tags:
+  - tidyomics/tidyomicsBlog
+  - hackathon
+  - tidyverse
+  - bioconductor
+description: "Maintaining and refining the Tidyomics ecosystem: enhancing core packages and interoperability for EuroBioC2026"
+image: thumbnail.jpg
+format:
+  html:
+    toc: true
+    toc-float: true
+execute:
+  freeze: true
+---
+
+# Two days, four participants, four aims
+
+The first `Tidyomics` community hackathon took place on 1st and 2nd June in Turku, Finland, as part of the **EuroBioC2026** conference pre-events. Here, four researchers from around the globe joined efforts to extend the capabilities of tidy operations for omics data, focusing on solving current bugs.
+
+![Participants of the first Tidyomics community hackathon (from left to right): Jasper Spitzer, Carissa Chen, Marco Geigges, Stevie Pederson](participants.jpg)
+
+Concretely, the hackathon focused on four key aspects:
+
+1. Development
+2. Bugs
+3. Enhancements
+4. Learning
+
+![Schematic representation of the Tidyomics hackathon aims](nanobanana2.png)
+
+# What's new?
+
+The advances produced during this hackathon are available and described in detail in the [BioHackrXiv](https://osf.io/preprints/biohackrxiv/cd9s6_v1) publication. In summary:
+
+1. `tidyAnnData` has been introduced as a new package to provide tidy operations for AnnData objects generated by the `anndataR` package
+2. Information access to core `Tidyomics` packages was inconsistent and some links were broken in the main GitHub page; taking advantage of this hackathon, access to correct information was restored
+3. The `DFplyr` package was enhanced by improving current methods (e.g. `GroupedDataFrame` and `count.DataFrame`) and making them suitable for universal column names
+4. The `tidybulk` package was enhanced to adjust the `lfcShrink()` function to use the different available methods (`apeglm` and `ashr`) and to generate a reduced dimensionality-based plot (PCA) for visual inspection of e.g. batch effects and outlier detection
+5. A standardised vignette for `tidySingleCellExperiment` has been developed to provide an extensive and concise guide for new users, encompassing both examples comparable to base R code and best practices on single-cell analysis using tidy operations
+
+# What's next?
+
+Five major contributions in two productive days is all a win!
+
+Beyond this wonderful experience, there is work to do: finalising the development of `tidyAnnData` to make it publicly available, fixing additional bugs and enhancing current packages, and standardising the rest of the `Tidyomics` packages' vignettes. These efforts open the doors for future events and continuing open-science work.
+
+We look forward to seeing you at the coming `Tidyomics` hackathon events to speed up software development, bug fixing, and new material development from [open problems in Tidyomics](https://github.com/orgs/tidyomics/projects/1), or to work on your own ideas for providing tidy operations in omics data analysis.
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