Jan-Philipp Quast

PhD student in the @Picotti_Lab at ETH Zurich. Author and maintainer of protti.

[Jan-Philipp Quast @QuastJP]

Check out protti, @dina_sch and my R package for bottom-up proteomics and LiP-MS data analysis!
Read the thread for more information!

[Jan-Philipp Quast @QuastJP]

@mlvalenstein @PNASNews Really cool work! Congrats Max!

[Picotti Lab @Picotti_Lab]

Some people from the lab are at #HUPO2023 - make sure to stop by at their talks and posters if you want to know more about our work!

[Jan-Philipp Quast @QuastJP]

@YijingWang20 Thanks! You can do that theoretically by providing these to the label argument.

[Jan-Philipp Quast @QuastJP]

Excited to announce the release of #ggplate on CRAN! ggplate is an R package that enables easy visualization of culture and microplate data.

Find out how to use it here:
https://t.co/JGr59FiA2Q

1/5
#rstats #DataScience #datavisualization #Biology #microbiology #AcademicChatter

[Jan-Philipp Quast @QuastJP]

@dina_sch @thermosci @UtrechtSSP @thermofisher I also want a vanquish! ☹️ a small one!

[Jan-Philipp Quast @QuastJP]

@ATinyGreenCell I actually work on metal-biology in my PhD so I have quite some experience making hundreds of slightly different trace metal containing M9 media... 😅 Precipitation can indeed be a pain (I learned that the hard way). I guess this is why they use EDTA here.

[Jan-Philipp Quast @QuastJP]

@ATinyGreenCell Makes sense! Why do you mean it is hard to make the stocks of the trace elements?

[Jan-Philipp Quast @QuastJP]

@ATinyGreenCell I am curious on what you grow them. Is this agar? Any specific temperature or humidity?

[Jan-Philipp Quast @QuastJP]

@ATinyGreenCell That’s cool! Do you by chance have the file for the collar somewhere available? I would like to try it myself!

[Can Holyavkin @canholyavkin]

@QuastJP I've tried it in my Shiny app for qPCR analysis and seems impressive. Thank you. BTW, it fully supports facet_wrap().

[Jan-Philipp Quast @QuastJP]

@canholyavkin That is great to know! Never tried it with facet_wrap()! Thanks for the feedback! :)

[Jan-Philipp Quast @QuastJP]

@DataSciwithR I will have a look if I can make that work! Would be indeed nice!

[Jan-Philipp Quast @QuastJP]

@cajun_science Thanks for your suggestion! I will have a look if I can make this work in the future! It was quite tricky to get it to work “just right“ for each plate type right now.

[Jan-Philipp Quast @QuastJP]

If you like the package please share it with your colleagues and leave a star on GitHub (https://t.co/VH7Ij81jCP). If you have any questions, suggestions for improvements or requests please also let me know on GitHub!

5/5

[Jan-Philipp Quast @QuastJP]

Currently the package supports 6, 12, 24, 48, 96 and 384-well plates.

4/5

[Jan-Philipp Quast @QuastJP]

@dina_sch It was me! 😶‍🌫️

[Jan-Philipp Quast @QuastJP]

@DemetriadesLab @biorxivpreprint @ArtoniFilippo @GruetzmacherN @MPIAGE @mpipz_cologne Hey Costas cool paper! I am actually not surprised by this since we always see that rampamycin is very specific based on validation experiments for our LiP-MS method. We have tons of data on this. Would you be interested in having a look at that to maybe include it? Just DM me!