🌊Interested in Seascape Genomics?🧬 Join us at the end of October to learn how to analyse your data in #Rstats with Amanda Xuereb & Oliver Selmoni! For more information: physalia-courses.org/courses-worksh… Please RT

Para saber más sobre el trabajo de Expósito-Alonso y otr@s investigador@s en "futurología genética", lee aquí: elperiodico.com/es/sociedad/20… Moi Expósito-Alonso (#MOILAB) Fundación Princesa de Girona

Talking in 15 min at the Theater across the plaza - come to learn about rapid evolution in #Arabidopsis! #ICAR2024

Faculty position in Human Evolutionary Biology at UC Berkeley: aprecruit.berkeley.edu/JPF04502

Extremely excited about this cohort including three plant biologists that I really admire Siobhán @Bradylabs, José José Dinneny and Mary Gehring! Congratulations!

Come see talks from our lab at #Evo2024 Montreal! moilab.science

Our #Evol2024 Evolution Meetings Predicting evolutionary responses to a changing world! Room packed as Seth kicks off!

grenedalf: Population genetic statistics for the next generation of Pool sequencing academic.oup.com/bioinformatics…

grenedalf: Population genetic statistics for the next generation of Pool sequencing. #PoolSeq #PopulationGeneticStats #Bioinformatics academic.oup.com/bioinformatics…

"grenedalf, a command line tool written in C ++ that implements common population genetic statistics such as θ, Tajima’s D, and F ST for Pool sequencing." academic.oup.com/bioinformatics…

New paper from our #MOILAB at OUP Bioinformatics from Lucas Czech w/ long term collab jeffrey spence Lucas created a ⚡️speed C++ code for popgen analysis using Pool sequencing! github.com/lczech/greneda… UC Berkeley HHMI Stanford University Carnegie Science doi.org/10.1093/bioinf…

There’s something especially sentimental about being back at my PhD Alma mater, UC Berkeley 🙏🏾 Looking forward to delivering this years Buchanan lecture in the department of Berkeley Plant & Microbial Biology 🙌🏾🌱 #GoBears 🐻

Reminder: Deadline Sept. 17th. Come join us!

Read our latest paper PNASNews! doi.org/10.1073/pnas.2… The first #DeepLearning project in our lab led by Lauren Gillespie Lauren Gillespie who directly uses remote sensing images to map 2000 plant species We named it #deepbiosphere! UC Berkeley HHMI Stanford University @CarnegieScience

I’m thrilled to announce that my paper with Moi Expósito-Alonso (#MOILAB) and Megan Ruffley, PhD tracking rapid plant species changes with deep learning is live at PNAS! pnas.org/doi/10.1073/pn…

Our paper on the evolution of structural variation at the amylase locus is out today in Nature! nature.com/articles/s4158… congrats to co-first authors Joana L. Rocha Nicolas Lou Davide Bolognini Alessandro Raveane & Alma Halgren, co-corresponding author Erik Garrison