Congrats for the great work!

Selections can also drive filtering and aggregation, though the code is still entirely CPU-based for now. I’d like to explore columnar and GPU-based approaches in the future. (2/2)

Thanks for your kind words! lesson learned! 😅 I'm glad you found my work interesting!

However, I didn’t realize that "Jellyfish," the tool that generates these plots, is not. This is embarrassing.

Dang. My bad. 😬 I'm the first author of this paper and should have ensured the tool's name was unique. The article is about "Jellyfish plots," which depict tumor evolution. We named them that because they resemble jellyfish with their bells and tentacles—and "jellyfish plot" was unique.

Finally, I'm grateful to all the collaborators and supervisors on this and the previous tumor evolution papers and the whole tumor evolution team! (7/7)

Jellyfish and Jellyfisher are available on GitHub: github.com/HautaniemiLa..., github.com/HautaniemiLa... (docs: hautaniemilab.github.io/jellyfisher/) #OpenSource #RStats #Bioinformatics (6/7)

Jellyfish won the Best Abstract Award at @BioVis at ISMB/ECCB 2023! 🏆 x.com/biovis_net/s.... It took a while to wrap up this project, but I'm happy it's now published—this paper will also be the third and final publication in my PhD dissertation! (5/7)

Jellyfish automates the drawing process and generates visually pleasing plots with ease. Based on the data used in the tumor evolution paper, we've now made auto-generated, interactive Jellyfish plots available at hautaniemilab.github.io/jellyfish/ (4/7)

The Jellyfish visualization design was initially published in our paper on tumor evolution in ovarian high-grade serous carcinoma (Lahtinen, Lavikka, Virtanen, et al., 2023, www.sciencedirect.com/science/arti...). However, in that paper, all Jellyfish plots were drawn manually. (3/7)

Metastases in solid tumors consist of heterogeneous subclonal mixtures that evolve across space and time. Jellyfish integrates tumor phylogeny and subclonal compositions of spatiotemporal samples into a unified plot, making subclonal dynamics easier to interpret. #CancerResearch (2/7)

Congrats!

It's not weird. It's relaxing. I've been doing the same.