bioinformatician.bsky.social
Senior Bioinformatics scientist at @mpipz_cologne. Previously postdoc at the @RaineyLab in @MPI_EvolBio. Data Science, Bioinformatics, Machine Learning, R, Rcpp, Python
29 posts
355 followers
107 following
Regular Contributor
Active Commenter
comment in response to
post
Thank you ☺️
comment in response to
post
Which Five you have in mind? I know only 3
comment in response to
post
Super!
comment in response to
post
This is beautiful! Could you teach how do you extract from understats the field position to plot it later in ggplot2
comment in response to
post
Thats a good point ☺️! Thank you
comment in response to
post
code: github.com/loukesio/tid...
comment in response to
post
code:https://github.com/loukesio/tidytuesday/tree/main
comment in response to
post
☺️
comment in response to
post
Code: github.com/loukesio/tid...
comment in response to
post
that looks really nice mate
comment in response to
post
What's the problem?
The rainbow and jet colors are problematic as the change in color is not perceptually uniform, leading to distinct 'bands' of certain colors. This causes misleading jumps and emphasizes certain values, most likely without the intention to highlight them.
comment in response to
post
thank you so much for your support 😀
comment in response to
post
There's more to come too! I'm continuing to improve the aesthetics of the gene tables and adding handy new functionality. Stay tuned! ⏳
#ggvolc #bioinformatics #RNAseq #Rstats
comment in response to
post
ggvolc has:
💠 New function for easily customizing volcano plots to your preferences! You can now easily change colors, axis labels, plot titles, etc. 🔥
💠Ability to accompany your volcano plot with a table listing key genes of interest! I'm working on making these tables look extra polished. 📊
comment in response to
post
Excellent work Bram et al! Congratulations
comment in response to
post
That's a good tip Jeroen! It bothers me a bit that it is not free, but I ll try to have a look
comment in response to
post
tinyurl.com/y3wdf3fu
#bioinformatics #datascience #flowchart #workflows #pipelines
comment in response to
post
For those in the genomic sector, this tool aims to provide a comprehensive approach to understanding microbial evolutionary patterns.
We value contributions and feedback. If our project aligns with your interests, please consider starring our repository and sharing within your network.
comment in response to
post
Key Features:
✅ Integration of variant mappers & callers for structural variant detection.
✅ Time series representation of de novo mutations.
✅ Work-in-progress visualization enhancement via D3.js.
comment in response to
post
😆😆
comment in response to
post
That's my bet! However, I am sceptical about how this interface can handle big data