PhD student in the @Picotti_Lab at ETH Zurich. Author and maintainer of protti. jpquast.github.io/protti/
Joined May 2018
- Tweets 84
- Following 197
- Followers 176
- Likes 448
9 Photos and videos
Pinned Tweet
26 Apr 2021
Check out protti, @dina_sch and my R package for bottom-up proteomics and LiP-MS data analysis!
Read the thread for more information!
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Jan-Philipp Quast retweeted
17 Sep 2023
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!
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Jan-Philipp Quast retweeted
23 Jan 2023
I've tried it in my Shiny app for qPCR analysis and seems impressive. Thank you. BTW, it fully supports facet_wrap().
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20 Jan 2023
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:
jpquast.github.io/ggplate/
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#rstats #DataScience #datavisualization #Biology #microbiology #AcademicChatter
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20 Jan 2023
Currently the package supports 6, 12, 24, 48, 96 and 384-well plates.
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20 Jan 2023
If you like the package please share it with your colleagues and leave a star on GitHub (github.com/jpquast/ggplate/). If you have any questions, suggestions for improvements or requests please also let me know on GitHub!
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10 Nov 2022
Big thanks to @bradyajohnston for a great first #Blender workshop day!
I learned a lot and could even already render a very simple but pretty animation! 🤩
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5 Oct 2022
If you are doing proteomics combined with protein structure/prediction analysis please check out the vignette of our R package protti! Any feedback and suggestions are very welcome!
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12 Sep 2022
Check out this really cool paper on the functional differences of RagA and RagB GTPase by the amazing @GLDaughter! Very happy I could contribute to this story during my time in the lab!
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Jan-Philipp Quast retweeted
28 Jul 2022
A year ago we open-sourced #AlphaFold
Today we're freely sharing the predicted structures of all 200M proteins known to science - almost the entire protein universe!
It's our gift to humanity, and a demonstration of the benefits AI can bring to society
dpmd.ai/AF-22-LI
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Jan-Philipp Quast retweeted
20 Jul 2022
Super excited to share this collaborative work @Nature that focuses on the roles of Sestrin-mTORC1 in organismal dietary leucine response. So much fun working with @PJouandin from @PerrimonLab. Thank all co-authors for their very valuable contributions.nature.com/articles/s41586-0…
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13 Jul 2022
So great to see this story out! Really proud to have been able to contribute to this amazing project during my time in the lab! Congrats to @mlvalenstein and @kbrogala for shedding light on the structure and function of GATOR2 a truly fascinating protein complex!
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12 Jul 2022
It’s Niki’s 1st birthday today! 😼🎉 They grow up so fast! 🙀 #cat #birthdaygirl
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1 Jul 2022
If you are using protti please note that UniProt related functions are not working properly after the UniProt update. We implemented a quick fix which you can get now on GitHub.
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15 Mar 2022
Can someone explain why this solution is blue when light shines through it but red when light shines on it? My mind is blown! 🤯
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Jan-Philipp Quast retweeted
14 Dec 2021
protti: an R package for comprehensive data analysis of peptide- and protein-centric bottom-up proteomics data doi.org/10.1093/bioadv/vbab0…
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15 Dec 2021
Very proud to announce that my first publication was just published in @BioinfoAdv! Please check out the paper doi.org/10.1093/bioadv/vbab0…
Also check out our R package 📦: jpquast.github.io/protti/
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Jan-Philipp Quast retweeted
16 Nov 2021
A favorite quote from @kycl4rk's Mastering Python for #Bioinformatics: "Weeks of coding can save you hours of planning."
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15 Nov 2021
What measures do you take in your lab to ensure that your code has a high quality? E.g. code reviews, version control, unit tests, etc.
How do you strike a balance to not overdo it with quality control measures?
#AcademicTwitter #Bioinformatics #phdchat #AcademicChatter
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16 Nov 2021
Just to clarify, what my question mainly refers to here are scrips for data analysis that might be very project specific. For software tools I think all of the above mentioned quality control measures should be applied no matter if it is an academic or industry setting.
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