Parquet and Arrow are great columnar formats, but the abysmal performance of TextDecoder on Chrome (or maybe V8) completely kills any speed benefits when files contain lots of short, unique strings. Even #JavaScript CSV parsers are faster. It’s fine if you don’t need to access the string columns 🤷

Checks out: www.jonoalderson.com/conjecture/j...

It’s been a bit quiet on the GenomeSpy front, but I finally had time to implement interval selections and other fancy features. Vega-Lite–style conditional encodings are compiled into shader code, with selection tests running on the GPU—making interactions snappy. (1/2)

I've typically used R (with tidyverse) for analyses, but recently I've been familiarizing myself with Python. Pandas feels quite awkward to me, at least compared to dplyr. But @pola.rs is great! It works wonderfully with Parquet files too. ❤️

Jellyfish visualization tool and the Jellyfisher R package have now been published in OUP Bioinformatics! 🎉 doi.org/10.1093/bioi... #Bioinformatics #DataViz (1/7)

Thrilled to announce that my R package 'jellyfisher' is now available on CRAN! It's my first package submission to CRAN, and a related paper will (hopefully) be published soon. Check it out: cran.r-project.org/web/packages....

🚨 next #BioVis #Dataviz virtual meetup: Will Stahl-Timmins (The #BMJ) is joining us on Sept 18! "A picture of health: Visualisations in medical publishing" Details & Link: biovis.net/2024/meetup/

My first first-author paper is now published: doi.org/10.1093/giga.... GenomeSpy is a grammar-based visualization toolkit for genomic data, powered by efficient WebGL rendering. Check the paper for examples on how we use it to explore a large ovarian high-grade serous carcinoma dataset.