Upcoming courses and Workshops

All our courses are taught in English.

 

Attendees are seated on a first-come, first-served basis.

 

All sessions are recorded to accommodate participants from all time zones, so you can access course content at a time that suits you best.

 

At the end of each course, participants will receive a certificate of participation that includes all course details and the corresponding number of credits.



Autumn School in Bioinformatics

ONLINE, 20-24 October 2025

 

Bayesian Modelling with R-INLA

ONLINE, 27-31 October 2025

Using AI with R

ONLINE, 5 & 12 November 2025

 

Museomics

ONLINE, 3-7 November 2025 

Introduction to Nextflow

ONLINE, 10-12 November 2025 

  

single-cell RNA-seq analysis with R/Bioconductor

ONLINE, 17-21 November 2025

 

Marine Spatial Data Analysis in R

ONLINE, 24–27 November 2025

Structural Variant Analysis

ONLINE, 1-3 December 2025 

 Generalised Additive Models (GAMs)  in R

ONLINE, 8-11 December 2025 

 

Unix and Shell Scripting for Bioinformatics

ONLINE, 12-16 January 2026

 

Introduction to statistics in R 

ONLINE, 19-22 January 2026

  

Flow Cytometry in R/Bioconductor

ONLINE, 2-4 February 2026 

 

Introduction to Quarto 

ONLINE, 5-6 February 2026

  

 eDNA Metabarcoding

ONLINE,  23-27 February 2026 

 

Population Genomics

ONLINE,  16-20 March 2026  

 

Computational Pangenomics

ONLINE, 13-16 April 2026

 

 

Spatial Omics with R/Bioconductor

Online,  18-20 May 2026  

Population genomic inference from low-coverage WGS data

ONLINE, 20-23 October 2025

RADseq data analysis using Stacks

ONLINE, 27-31 October 2025

RNA-seq with R/Bioconductor

ONLINE, 3-14 November 2025

 

 Deep Learning in Biology

ONLINE, 3-7  November 2025

 

 

Eukaryotic Genome Assembly using Pacbio and Hi-C

ONLINE, 10-14 November 2025 

Spatial statistics with R

ONLINE, 17-21 November 2025  

Manual Genome Curation

ONLINE, 24-28 November 2025   

Phylogenomics

ONLINE, 1-5 December 2025 

 

Genomic data visualisation with R

ONLINE, 15-17 December 2025

 

Academic Paper Writing

ONLINE, 12-14 January 2026

 

Lidar data analysis in R 

ONLINE, 26-28 January 2026

  

Orchestrating Microbiome Analysis with Bioconductor

ONLINE, 2-6 February 2026

 

Intro to Machine Learning in R

ONLINE,  16-20 February 2026  

 

 Multidimensional phenotypic evolution

ONLINE,  2-6 March 2026  

 

eDNA using Nanopore data

ONLINE,  23-25 March 2026 

 

Practical Somatic Variant Analysis in Cancer Genomics

ONLINE, 27-29 April 2026

 

Marine Genomics

Hellenic Centre for Marine Research (Greece),

25-29 May 2026  

Nanopore direct RNA sequencing

ONLINE, 27-30  October 2025 

Agent-based and Individual-based modeling using Netlogo

ONLINE, 27 October - 7 November 2025

Transposable Elements

ONLINE, 3-7 November 2025  

Metabolomics with R/Bioconductor

ONLINE, 11-14 November 2025  

Mass Spectrometry and Proteomics in R/Bioconductor

ONLINE, 17-19 November 2025

Shotgun Metagenomics

ONLINE, 25–28 November 2025  

Using AI for R

ONLINE, 24 November 2025   

 

Adaptation Genomics

ONLINE, 8-12 December 2025

  

 

Machine Learning for

Multi-Omics Integration

University of Barcelona (Spain),

15-17 December 2025  

Species distribution and ecological niche modelling in R

ONLINE, 19-23 January 2026

 

Introduction to GWAS

ONLINE, 26-30 January 2026   

Geometric Morphometrics

ONLINE, 3-5 February 2026 

 

Time-series analysis and forecasting in R

ONLINE,  23-27 February 2026 

Metabarcoding in Microbial Ecology

ONLINE,  16-20 March 2026  

 

Advanced Python

for Data Science and Bioinformatics

ONLINE,  23-27 March 2026

  

DNA Methylation

in Ecology and Evolution

ONLINE, 20-24 April 2026

 

Beyond Beginner R

Online,  1-4 June 2026  


 

 

New courses will be officialised very soon! Stay tuned..

Testimonials

★★★★★
"I loved attending this course and would definitely recommend Physalia to others. The program was well-structured, with interactive nature and the opportunity to work on our own data throughout the week were particularly valuable."
- Dr. Lisandrina Mari, University of Jyväskylä (Finland)
★★★★★
"I greatly enjoyed this course. The engaging instructor presented an excellent mixture of background theory, example analyses, and code. This course formed an informative and enjoyable component of my sabbatical. Thank you!"
- Prof. Sarah Adamowicz, University of Guelph (Canada)
★★★★★
"The instructors did an EXCELLENT job preparing the course material. Well-organized by both the lecturers and organizers, the course provided valuable insights, and I will certainly recommend Physalia to other scientists."
- Prof. Briana L. Gross, University of Minnesota Duluth (USA)
★★★★★
"Very beneficial, just the right amount of material covered. The instructors formed an excellent team, and I feel very confident now that I have enough insight to tackle my own data sets."
- Prof. Peter Teske, University of Johannesburg (South Africa)
★★★★★
"I attended the single-cell RNA-seq course last year and started single-cell analysis since then. Our paper was published in Nature Communications this week. I really appreciate you."
- Dr. Masahito Yoshihara, Karolinska Institutet (Sweden)
★★★★★
"The instructors were superb! Extremely knowledgeable, flexible, friendly, and helpful. They make an excellent team, and the online tutorial is an excellent resource."
- Prof. Anne Yoder, Duke University (USA)