Just now catching my breath after a fantastic #SMBE2025 a few weeks back. I’m deeply grateful to the local organizers and to @OfficialSMBE for the Graduate Student Excellence Award and for the chance to share my work. It was an honor to present among such brilliant researchers.
Another year of teaching at the Eastern European Bioinformatics and Computational Genomics Workshop (EEBG) 2025 is in the books! https://t.co/KOruEuZ0kR
I'm so grateful to be speaking alongside so many other talented graduate students! Looking forward to sharing ideas and connecting at SMBE - hope to see you there!
Even more coauthors for this great paper! Carole C. Baldwin, Guillermo Ortí, Lily C. Hughes, Sergei L. Kosakovsky Pond, @R_BetancurR and @arciladk
Congrats all!! 👏👏
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Excited to share our new paper in Science Advances! We investigated the evolution of endothermy in ray-finned fishes by integrating phylogenomics, ecomorphology, fossil occurrence, and comparative genomics across 205 marine vertebrates.
👉 https://t.co/FByZczWoFy
👋 For the next two weeks, we will highlight our GSEA recipients - we start with Hannah Verdonk, PhD student @TempleUniv
Hannah works on improving bioinformatic tools to account for weak selection on synonymous codon usage. 💻
More on Hannah ⬇️ and follow her: @hannahverdonk
Watch @hannahverdonk's talk entitled "MSS: A codon model with Multiple classes of Synonymous Substitutions" at #Evol2024. She highlights the impact of using independent pairs of synonymous substitution rates on diverse datasets. https://t.co/vhoaqib9Dv
Watch @aglucaci's presentation on "Quantifying natural selection in coding sequences" given last week at the @metasub 2024 conference in Tokyo! He features application and technical description of the BUSTED and aBSREL methods. https://t.co/ETyS7qDfEH
Watch @hannahverdonk's talk entitled "MSS: A codon model with Multiple classes of Synonymous Substitutions" at #Evol2024. She highlights the impact of using independent pairs of synonymous substitution rates on diverse datasets. https://t.co/vhoaqib9Dv
Watch @aglucaci's presentation on "Quantifying natural selection in coding sequences" given last week at the @metasub 2024 conference in Tokyo! He features application and technical description of the BUSTED and aBSREL methods. https://t.co/ETyS7qDfEH
Last week at #SMBE2024, grad student @hannahverdonk presented her work on the Multiclass Synonymous Substitution (MSS) model implemented in HyPhy! Her poster detailed how MSS estimates relative rates for synonymous codons to explore selection on codon usage. Fantastic, Hannah!