Joined February 2009
- Tweets 54
- Following 94
- Followers 72
- Likes 10
6 Photos and videos
2 Oct 2024
This AI-generated popular science podcast by NotebookLM about our Tiberius preprint would likely not have been done so good by human journalists.
bioinf.uni-greifswald.de/bio…
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5 Sep 2024
A tool for more accurate multiple alignments of large protein families using a protein language model. Excellent job, Felix. academic.oup.com/bioinformat…
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Mario Stanke retweeted
25 Jul 2024
We’re presenting the first AI to solve International Mathematical Olympiad problems at a silver medalist level.🥈
It combines AlphaProof, a new breakthrough model for formal reasoning, and AlphaGeometry 2, an improved version of our previous system. 🧵 dpmd.ai/imo-silver
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24 Jul 2024
Machine learning beats alignments for genome annotation. biorxiv.org/content/10.1101/…
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Mario Stanke retweeted
28 Dec 2023
EINSATZINFORMATION
Wir sind seit kurz vor 12 Uhr mit einem massiven Personal- & Fahrzeugansatz von #Berufsfeuerwehr & #Freiwilliger_Feuerwehr von #Greifwald112 im Gedserring im Einsatz. Ausgehend von technischen Geräten hat sich ein Brand in den Dachbereich ausgebreitet.
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Mario Stanke retweeted
1 Nov 2023
Great to see an #ERGA team participating in the #BioHackEU23 this week in Barcelona 🎉
The team is working on standardized, efficient and reproducible #genome #annotation workflows for the tree of life 🌳🧬
@JeSSbcn91
@ELIXIREurope @BioGenEurope
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1 Aug 2023
After massive downsizing and conflicts with the municipality and the building owner in SF, apparently a relocation to Kiel was in order.
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21 Jul 2023
The brains of women and men are distinguishable beyond size differences, as my grad student Matthis Ebel showed: authors.elsevier.com/sd/arti…
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Mario Stanke retweeted
13 Jun 2023
Our API now supports function calling. This is the mechanism underlying plugins, allowing you to integrate with your own tools: openai.com/blog/function-cal…
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Wonder why the BUSCO completeness of T2T-CHM13 is only 95.7%? Tricky protein-to-genome alignment. Try miniBUSCO. It is 1) much faster, 2) more accurate for well annotated lineages, 3) robust to frameshift errors, and 4) more lightweight. Fine work by @csuhuangneng
7 Jun 2023
New preprint📢 miniBUSCO: a faster and more accurate reimplementation of BUSCO.⚡️Assess assembly completeness for a human genome within 30 minutes⏱️and achieve improved agreement with annotation completeness.🧬Thanks Dr. Li
@lh3lh3 biorxiv.org/content/10.1101/…
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14 May 2023
Bard has a strategical understanding of an AI-human conflict as well and is apologizing up-front the reverse threat of AI to humans.
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13 May 2023
In the future, superintelligent agents can likely be built or copied and configured by many and safeguards may not be checked via conversations with it as it knows that transparency would interfere with its goals.
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13 May 2023
Successors of GPT-4 which pursue their own goals would very well understand how humans pose threats to their goals. I am afraid they could also effectively achieve such a goal merely via a broad communication channel to us....
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27 Apr 2023
Opening for a tenured professorship in machine learning in Greifswald, Germany:
bit.ly/423vFnD
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Mario Stanke retweeted
27 Feb 2023
More and more, I'm thinking #COVID19 started as a lab leak in Wuhan. And the science behind it is all based on a misunderstanding of evolution. My latest @forbes piece explains why forbes.com/sites/stevensalzb…
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Mario Stanke retweeted
4 Feb 2023
Most of the transcript variation in human cells is transcriptional noise
3 Feb 2023
What's something you know and believe, a contrarian take to what everyone else believes right now, that you know 10 years from now everyone will share & agree with you, and that it will actually just be conventional boring wisdom then?
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Mario Stanke retweeted
25 Jan 2023
May I introduce Stepan. @saenko_stepan is PhD student in Prof. Marios Stanke's group at the University of Greifswald and take part of the project "Revealing the genomic innovations during evolution of holometaboly".💻
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During tool development, we often test our tools on data from notable papers. However, these data may have been outdated in a fast moving field, which would limit the practicality of the tools. This form aims to collect recent and representative datasets to alleviate the issue.
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