Reposted by Matt PaulJoachim Goedhart @joachimgoedhart.bsky.social · 16/12/2024There are now 24 step-by-step guides, explaining how to create these ⬇️ data visualizations with R/ggplot2 - I hope this is a useful resource. Find them all here: joachimgoedhart.github.io/DataViz-prot... 17556193
Reposted by Matt PaulClaus Wilke @clauswilke.com · 06/12/2024This is a good recommendation. In addition, for bar plots or other plots where you're coloring large areas, add some transparency. The viridis colors are too dark and saturated for large areas. They were designed for points and lines(*). Compare left versus right. 54515
Reposted by Matt PaulFabio Crameri @fabiocrameri.ch · 05/10/2023Scientific colour maps 8.0 · Perceptually uniform · Perceptually ordered · Colour-blind friendly · Readable as B&W print · Widely compatible · Versioned & citable fabiocrameri.ch/colourmaps #useBatlow #Dataviz #SciArt #EduSky #OpenSource 1/n 38638
Reposted by Matt PaulDichromat Chloe (4% of scientists) @dichromat-chloe.bsky.social · 25/11/2024(please amplify) 4% of scientists face an important barrier to an the ENTIRE FIELD of single-cell genomics and here is why 815274
Reposted by Matt PaulJames Bartlett @bartlettje.bsky.social · 22/11/2024I've added a little code peer-review activity for the final week of my introductory research methods course. I came across this great concise article which outlines what elements to include for code-review in the sciences: onlinelibrary.wiley.com/doi/full/10....onlinelibrary.wiley.comImplementing code review in the scientific workflow: Insights from ecology and evolutionary biologyCode review is the process of either informally (as part of a group, as colleagues) or formally (as part of the peer review process) checking and evaluating each other's code and is a critical method... 12911
Reposted by Matt PaulFrank Harrell @f2harrell.bsky.social · 22/11/2024Really nice addition to #RStats ggplot2 graphics 16911
Reposted by Matt PaulVincent Arel-Bundock @vincentab.bsky.social · 21/11/2024𝚝𝚒𝚗𝚢𝚝𝚊𝚋𝚕𝚎 0.6.1 for #Rstats is out! It's an ultra simple, super flexible, and 0-dependency package to draw beautiful tables in HTML, LaTeX, Typst, Word, PDF, and PNG. And for those who ❤️ documentation, 𝚝𝚒𝚗𝚢𝚝𝚊𝚋𝚕𝚎 ships with a billion pages of tutorials: vincentarelbundock.github.io/tinytable/ 733586
Reposted by Matt PaulLior Pachter @lpachter.bsky.social · 21/11/2024You can now run tximport in Python with pytximport thanks to @compmed.bsky.social et al. academic.oup.com/bioinformati...academic.oup.comGene count estimation with pytximport enables reproducible analysis of bulk RNA sequencing data in PythonAbstractSummary. Transcript quantification tools efficiently map bulk RNA sequencing reads to reference transcriptomes. However, their output consists of t 1277
Reposted by Matt PaulColin 🤘🌱🏃♀️ @colinfay.bsky.social · 19/11/2024#RStats I'm so happy to finally share what we've been experimenting on at ThinkR for the past couple of weeks — A native mobile app that can run R code through #webR Read more at 👉 rtask.thinkr.fr/youve-been-w... 611530
Matt Paul @sciencematt.bsky.social · 18/11/2024Lots of good bioinformatics starter packs. Many of the starter packs I used last week have already been updated as the influx continues. 041
Matt Paul @sciencematt.bsky.social · 16/11/2024Super useful guide by @jacoates.bsky.social for understanding some of the new quirks (and benefits) of BlueSky. Feels like the Starter Packs have been a great way to get me going, but I'm going to need some custom feeds to parse all these new people I'm following! 001