Top Tweets for #BioHackEU
✨ The second day of #BiohackEU24 starts with lots of hacking on-site, through Zoom, and across time zones.
Guess what’s the most used keyword in this year’s projects?
It’s … #DATA along with Research, FAIR, Galaxy and ELIXIR - which really summarise the focuses of #BioHackEU.

Do you have a #bioinformatics project idea that needs a little stimulus⚡?
Submit your project proposal for #BioHackEU24 to get the chance to meet with experts to drive the project forward.💨
📥 Submit your proposal by 8 April: https://t.co/JG3Pjldx5x

🙌In #BioHackEU23, we have 180 in person participants and over 160 online attendees hacking through 35 bioinformatics projects together. To kick-off, @Ka_Heil gave a short introduction of #BioHackEU, projects we have this year and activities we’ve planned for the participants.

@langemger @nfdi4plants @FAIR_agro @isatools @usadellab @Timo_Muehlhaus @gannebamm @XSpecka Great to see synergies being activated. Hopefully @denbiOffice and @ELIXIREurope can also contribute to such activities. Looking forward to the #biohackeu 2023!
@firefoxx66 @nextstrain @richardneher Advice: in addition to the animated GIF of these mutations, it should be possible to create links to dedicated @SWISS_MODEL 3D interactive viewer.
(@kpj_py did something similar for our project on #Vpipe during @ELIXIREurope's #BioHackEU)
https://t.co/CbA4f8akGZ
One of the outcomes of @ELIXIREurope's #BioHackEU:
Proof-of-concept: link nucleotide mutation in #Vpipe's sample report and display them on @SWISS_MODEL's 3D protein structures (translated as amino-acid annotations)
@ISBSIB Resources, Unite!
with @kpj_py
One of the outcomes of @ELIXIREurope's #BioHackEU:
Proof-of-concept: link nucleotide mutation in #Vpipe's sample report and display them on @SWISS_MODEL's 3D protein structures (translated as amino-acid annotations)
@ISBSIB Resources, Unite!
with @kpj_py
We will work to connect RNAseq & other omics workflows to pathway enrichment & visualisation. If you have existing pipelines that do things like QC, normalisation, expression fold change and p-value calculations in R or Galaxy please point us to them. #BioHackEU please retweet
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