Hope this work can inspire some thoughts about how the non-linearities of development and genetics help define the evolutionary directions of lineages. Roll credits E. Yağmur Erten Joshua L. Payne open.spotify.com/track/0ofHAoxe… journals.uchicago.edu/doi/10.1086/72…

The latest: debunking misinformation from @evolodonata on biases in the introduction process A mut bias is a systematic diff in rates among types of mutational conversions, e.g., transition vs. transversion, or GC-->AT vs. AT-->GC (1/~20) ecoevorxiv.org/repository/vie…

New preprint: Mutation bias and the predictability of evolution. Led by A. Cano & @BryanGitschlag, colab with H. Rozhonova, Arlin, & David M. McCandlish. ecoevorxiv.org/repository/vie…

If you work at the interface of evolution, quantitative genetics, development, and systems biology, this one is for you! 🧬 🦋 #EMBOPredictEvo will explore the evolution of biological systems from genes and molecules to organism development and ecology. 🔎 s.embl.org/pev23-01

Our new preprint is out. Parallelism in evolution has been observed in many systems at the genetic and phenotypic levels. Sandeep Venkataram and I wrote a review making the case that community-level properties also evolve with some degree of repeatability. ecoevorxiv.org/repository/vie…

Interested in DFEs? Or the relationship between mutation rates and fitness effects? Check out our new preprint. Led by @BryanGitschlag and Alejandro Cano. Colab with David M. McCandlish and Arlin biorxiv.org/content/10.110…

This new theme issue of #PhilTransB brings together interdisciplinary approaches to predicting #EvolutionaryBiology. Edited by @JustinMCrocker, Joshua L. Payne, Aleksandra Walczak and Trisha Wittkopp. Read here: bit.ly/PTB1877

Our study on synthetic genotype networks (sets of gene regulatory networks connected by small mutational changes) is now published! Congratulations to all co-authors! Javier Santos Moreno Eve Tasiudi Astri Kusumawardhani CSB, ETHZ @DMF_unil. nature.com/articles/s4146…

I am excited to present my work with David M. McCandlish on our attempt to understand complex genotype-phenotype maps tomorrow at #BoG23. I will show some cool genotype-phenotype maps with up to 16 million genotypes and explain how we can actually visualize and interpret them

Happy to have been a part of this. Fun colab with Rubén Pérez-Carrasco and Yolanda Schaerli, led by Florian Baier. doi.org/10.1126/sciadv…

New preprint! Really happy with how this turned out. Hana knocked it out of the park. Colab with Carlos Martí and David M. McCandlish biorxiv.org/cgi/content/sh…

For mutations to have good chances of entering the gene pool of a population of 🪼🌴🐸🐞🦙☘️ the cells in which such mutations arise need to thrive in their developmental contexts. Development may thus be an evolutionary agent behind mutation rate biases academic.oup.com/mbe/advance-ar…

🇩🇰My lab at @UCPH_BRIC Uni of Copenhagen, Denmark is recruiting 💻 #bioinformatics and ⚗ wet-lab #postdocs and 🧑‍🔬#research assistants Cancer evolution, genome instability, artificial intelligence for DNA analysis. #ERC & NNF projects 👇Positions listed below. Please RT! (RX?)

Re-upping this: I'm looking for PhD students (start October 2024) to join my lab in Oxford. If you're interested in molecular evolution, archaea, chromatin, or all of the above, get in touch!

At Wellcome Sanger Institute we are recruiting 3 new faculty (at any level) in Generative Biology / AI/ML / Synthetic Genomics. Really well-funded positions with access to Sanger's unique capacity for large-scale data generation and long-term projects. pls RT! sanger.wd3.myworkdayjobs.com/en-US/Wellcome…

Codon-level combinatorially complete. Wowza. science.org/doi/10.1126/sc…

Interested in ML for sequence design?Come postdoc with us! 📍Penzberg or Zurich careers.roche.com/de/de/job/2024…

We're recruiting! Multiple postdoc and PhD positions at the University of Lausanne. Official adverts will be out soon, but you can have a sneak peek. Informal enquires are encouraged - if you like our papers, we want to hear from you! sites.google.com/view/sonjaleht…

The standard #GeneticCode is robust, but is robustness good/bad for #evolution? Joshua L. Payne &co use experimental data to show that robust genetic codes enhance protein #evolvability by producing smooth adaptive landscapes with few peaks #PLOSBiology plos.io/4dXt85p