Physalia-courses@ONLINE

Physalia-courses@ONLINE

@physaliacourses.bsky.social

We provide scientific training courses in #Bioinformatics #Genomics #ecology #evolution #ComputationalBiology #DataScience https://www.physalia-courses.org/courses-workshops/

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🚀 This November, explore our hands-on courses in 🧬 genomics, 🧫 metagenomics, 🧪 proteomics, 🌍 remote sensing, 🤖 deep learning, 🐍 Python, and so much more! From Transposable Elements and RNA-seq to Genome Assembly, Metagenomics, Spatial Proteomics, Manual Curation & beyond shorturl.at/iRlkm

We are pleased to announce two upcoming online courses in 2027, designed to provide practical skills in processing, analysing and applying LiDAR data to ecological & forestry research Two complementary courses, two approaches to LiDAR — from spaceborne observations to detailed 3D forest analysis🧵

We’ve just kicked off our Introduction to #DeepLearning for Biologists course at the University of Zagreb, Croatia! 🇭🇷 We’re thrilled to be here and to meet such an enthusiastic group of researchers, who have given us such a warm welcome!

🧬 Want to learn how to assemble the genome of your species? Curious about long-read genome assembly & how to get the best results from your data? Join our course on Long-Read Genome Assembly with @marcelauliano.bsky.social & João! Only a few spots left! www.physalia-courses.org/courses-work...

physalia-courses.orgEukaryotic genome assembly using Pacbio and Hi-CDates 9-13 November 2026 To foster international participation, this course will be held online

🦠 Join our online course “Shotgun #Metagenomics Processing and Analysis” with @epasolli.bsky.social ! 🧬 Learn data preprocessing, taxonomic and functional profiling, genome reconstruction, and statistical analysis through hands-on exercises. 📅 23–26 Nov www.physalia-courses.org/courses-work...

physalia-courses.orgShotgun metagenomics processing and analysis23-26 November 2026 To foster international participation, this course will be held online

Physalia-courses@ONLINE reposted

The domestic cat may be a far more recent arrival to Europe than previously thought, a new Science study. finds. The results offer new insight into one of humanity’s most enigmatic animal companions and identify North Africa as the cradle of the modern housecat. Learn more: https://scim.ag/44kov1S

Last call to join our upcoming course! www.physalia-courses.org/courses-work...

physalia-courses.orgPopulation genomic inference from low-coverage whole-genome sequencing dataDates 26-29 October 2026 To foster international participation, this course will be held online
Physalia-courses@ONLINE@physaliacourses.bsky.social

🧬 Working with low-coverage WGS data? Wondering how to extract powerful population genomic insights despite genotype uncertainty? Join us online to master genotype likelihoods, ANGSD, population structure, demography & selection scans shorturl.at/acikK @ntherk.bsky.social @fishyomics.bsky.social

Many thanks to Elodie and everyone who joined us this week for Design, Implement and Promote Species Monitoring in R! 🌿 📊 We explored long-term monitoring protocols and methods including CMR, distance sampling, occupancy and N-mixture models to support robust, reproducible wildlife monitoring

Physalia-courses@ONLINE reposted

🧬 Can we predict whether a population will go extinct or recover from its genome? In our new paper, led by Johanna Winder, we combine forward simulations and machine learning to ask how genomics could inform extinction and recovery potential doi.org/10.1111/eva.... #consgen #PopGen #evolution

doi.orgMachine‐Learning Models Trained on Genomic Summary Statistics Assess Extinction Risk and Recovery Potential of Bottlenecked PopulationsForecasting extinction risk from genomic data is challenging because of interactions among environment, demography, and genomic erosion. Here, we use known outcomes from forward simulations as a proo...

It is still possible to join us next week for this great course with @philipleftwich.bsky.social & @eivimeycook.bsky.social Join us and boost your R skills! www.physalia-courses.org/courses-work...

physalia-courses.orgBeyond Beginner R: Advancing Your Coding SkillsDates 27-30 October 2026
Physalia-courses@ONLINE@physaliacourses.bsky.social

Ready to level up your R skills? 🚀 Join Beyond Beginner R (27–30 Oct, online) for advanced tidyverse, ggplot2, Quarto, GitHub & AI-assisted coding. Build cleaner, reproducible workflows with @philipleftwich.bsky.social & @eivimeycook.bsky.social www.physalia-courses.org/courses-work...

Registrations are now open for the Introduction to R course in January! Participants will learn how to work with datasets, clean & transform data using dplyr, create visualizations with ggplot2 & produce reproducible reports. For info, please visit: www.physalia-courses.org/courses-work... #Rstats

physalia-courses.orgIntroduction to R: From Basics to Data Visualization and ReportingDates 11–14 January 2027 To foster international participation, this course will be held online

🌿 Causal Inference in Ecology and Evolution | Online course | 15–19 February 2027 How can we move beyond correlations to understand cause-and-effect relationships in ecological and evolutionary systems? Join our five-day online course: www.physalia-courses.org/courses-work...

physalia-courses.orgCAUSAL INFERENCE IN ECOLOGY AND EVOLUTIONDates 15–19 February 2027 To foster international participation, this course will be held online TOPIC: Causal inference and Bayesian structural equation modelling in ecology and evolution

Physalia-courses@ONLINE reposted

Physalia-courses@ONLINE reposted

Through the Bioconductor–Physalia collaboration, 18 sponsored course places were provided to researchers across nine countries between November 2025 and October 2026. Read their experiences and see how access to specialist training is making a difference: bit.ly/4B4h3qq

blog.bioconductor.orgBeyond the course: Reflections from the Bioconductor–Physalia sponsorship programme – Bioconductor community blogResearchers reflect on specialist training, new analytical skills, and how they hope to use what they learned.