There 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...

This 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.

Entire suite of Scientific colour maps (perceptually uniform and color-blind friendly) by Fabio Crameri, with hand-pickable colours of discrete and categorical colour palettes.

Scientific 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
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(please amplify) 4% of scientists face an important barrier to an the ENTIRE FIELD of single-cell genomics and here is why

Implementing code review in the scientific workflow: Insights from ecology and evolutionary biology Code 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...

I'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....

I'm working on a Reproducibility course for Spring next year, so this has been great to see how we can frame it better to make it easier to understand its importance and the hang ups.

A lot of people need more guidance on best practices from their lab and institute so that there's a coherent vision for provenance, and so it is less intimidating as an individual.

I agree with a lot of folks. People don't have the bandwidth to build a good SOP which needs to operate on many levels with different tools i.e. data, package and code management. When you have limited time and training opportunities come up Reproducibility is a lot less exciting than scRNAseq

Really nice addition to #RStats ggplot2 graphics

𝚝𝚒𝚗𝚢𝚝𝚊𝚋𝚕𝚎 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/

Gene count estimation with pytximport enables reproducible analysis of bulk RNA sequencing data in Python AbstractSummary. Transcript quantification tools efficiently map bulk RNA sequencing reads to reference transcriptomes. However, their output consists of t

You can now run tximport in Python with pytximport thanks to @compmed.bsky.social et al. academic.oup.com/bioinformati...

#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...

Lots of good bioinformatics starter packs. Many of the starter packs I used last week have already been updated as the influx continues.

Super 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!