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Workshops and courses
Practical machine learning with spatial data
10 - 12 December 2025
Online
Artificial Intelligence High Performance Computing for Companies LUMI Supercomputer -
Workshops and courses
Exploring macromolecular protein assemblies and their visualisation with Complex Portal
9 July 2025 @ 09:00 - 17:00
Online
Protein interactions Protein complex Complex Portal protein -
Workshops and courses
Summer School Machine Learning and AI
24 - 29 August 2025
Diest, Belgium, Switzerland
Face-to-face
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Workshops and courses
Introduction to Machine Learning with Python
2 - 3 October 2025
Basel, Switzerland
Face-to-face
data mining machine learning training torsten schwede & thierry sengstag group mark ibberson group -
Workshops and courses
Microscopy data analysis: machine learning and the BioImage Archive
16 - 20 March 2026
Online
Bioimage analysis Machine learning models Scientific computing Light microscopy Electron microscopy -
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Ensuring More Accurate, Generalisable, and Interpretable Machine Learning Models for Bioinformatics
17 November 2025 @ 09:00 - 17:00
Online
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Workshops and courses
Data science for life scientists
15 - 19 June 2026
United Kingdom
Face-to-face
Data science Python Data visualisation Statistics Machine learning -
Workshops and courses
Data science for life scientists
16 - 20 June 2025
United Kingdom
Face-to-face
Data science Python Data visualisation Statistics Machine learning
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jmacdon/Bioc2020Anno
Genome annotation R
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aml4td/website
Machine learning R
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jmacdon/Bioc2022Anno
Genome annotation R
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Perl 1 Training Course - For Programming Beginners
Perl Programming
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GGPLOT2 : Pragmatic GGPLOT
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Video, Webinar
ELIXIR CZ Friday Coffee #5: Data Management with Data Stewardship Wizard
Data management data management plan data stewardship FAIR data management software tools
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Presentation
DSW Workshop for Finnish Data Support Personnel
•• intermediateData management DMP DMP tools data stewardship FAIR FAIR data -
e-learning
Clustering in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Regression in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
slides
Introduction to Machine learning
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Basics of machine learning
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Classification in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
cambiotraining/intro-machine-learning
Machine learning
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Training materials
Machine Learning & BioStatistics Hackathon 2020
• beginnerMachine learning Statistics and probability Computer science machine learning biostatistics eLearning EeLP -
Video
Introduction to Machine Learning Algorithms
•• intermediateMachine learning -
slides
Foundational Aspects of Machine Learning
• beginnerStatistics and probability Statistics and machine learning ai-ml elixir -
e-learning
Machine learning: classification and regression
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Age prediction using machine learning
• beginnerStatistics and probability Statistics and machine learning -
hands-on tutorial
A tour of Machine Learning
•• intermediateMachine learning Classification Deep Learning Machine Learning -
sdgroeve/Machine-Learning-Course-2days
Machine learning
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JuliaAcademy/Foundations-of-Machine-Learning
Machine learning Julia
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Introduction to Machine Learning with Python
• beginnerdata mining,machine learning,training,mark ibberson group,torsten schwede & thierry sengstag group data mining,machine learning,training,torsten schwede & thierry sengstag group,mark ibberson group -
e-learning
Introduction to Machine Learning using R
•• intermediateStatistics and probability Statistics and machine learning interactive-tools -
e-learning
Machine Learning Modeling of Anticancer Peptides
•• intermediateProteomics ML cancer -
sib-swiss/intro-machine-learning-training
Machine learning Statistics and probability Statistics
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carpentries-incubator/machine-learning-novice-sklearn
Machine learning Statistics and probability Statistics
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carpentries-incubator/machine-learning-novice-python
Machine learning Statistics and probability Statistics
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e-learning
PDBePISA: Identifying and interpreting the likely biological assemblies of a protein structure
Structure prediction Protein structure analysis Quaternary structure Macromolecular interfaces PDBe Macromolecular structures
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Video
RDMbites | Machine and human readable file naming
Data management
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Statistics and Machine Learning for Life Sciences
•• intermediatetraining biostatistics data mining machine learning torsten schwede & thierry sengstag group
Showing 3 content providers
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proteomicsML
ProteomicsML provides ready-made datasets for machine learning models accompanied by tutorials on how to work with even the most complex data types in the field of proteomics. The resource is set up to evolve together with the field, and we welcome everyone to contribute to the project by adding...
1 training materialproteomicsML https://proteomicsml.org/ https://tess.elixir-europe.org/content_providers/proteomicsml ProteomicsML provides ready-made datasets for machine learning models accompanied by tutorials on how to work with even the most complex data types in the field of proteomics. The resource is set up to evolve together with the field, and we welcome everyone to contribute to the project by adding new datasets and accompanying notebooks. ProteomicsML was set up as a joint effort of SDU, CompOmics, LUMC, PeptideAtlas, NIST, PRIDE, and MSAID. We believe that ProteomicsML is solid step forward for the field towards more open and reproducible science! /system/content_providers/images/000/000/676/original/proteomicsml-logo.png?1686658675 -
EOSC4Cancer
EOSC4Cancer will make diverse types of cancer data accessible: genomics, imaging, medical, clinical, environmental and socio-economic. It will use and enhance federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR data across borders and offer them via...
1 training material0 events (1 past event)EOSC4Cancer https://eosc4cancer.eu/ https://tess.elixir-europe.org/content_providers/eosc4cancer EOSC4Cancer will make diverse types of cancer data accessible: genomics, imaging, medical, clinical, environmental and socio-economic. It will use and enhance federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR data across borders and offer them via community-driven analysis environments. EOSC4Cancer’s well curated data sets will be essential input for reproducible and robust analytics and computational methods – including machine learning and artificial intelligence. EOSC4Cancer’s five use cases will cover the patient journey from cancer prevention over diagnosis to treatment, laying the foundation of data trajectories and workflows for future European Cancer Mission projects. /system/content_providers/images/000/000/747/original/Logo-eosc-cancer-RGB-horizontal-STANDARD.png?1711439233 -
Jalview
Jalview (www.jalview.org) is free-to-use sequence alignment and analysis visualisation software that links genomic variants, protein alignments and 3D structure.
Protein, RNA and DNA data can be directly accessed from public databases (e.g. Pfam, Rfam, PDB, UniProt and ENA etc.). Jalview has...
0 events (2 past events)Jalview http://www.jalview.org/ https://tess.elixir-europe.org/content_providers/jalview Jalview (www.jalview.org) is free-to-use sequence alignment and analysis visualisation software that links genomic variants, protein alignments and 3D structure. Protein, RNA and DNA data can be directly accessed from public databases (e.g. Pfam, Rfam, PDB, UniProt and ENA etc.). Jalview has editing and annotation functionality within a fully integrated, multiple window interface. The sequence alignment programs Clustal Omega, Muscle, MAFFT, ProbCons, T-COFFEE, ClustalW, MSA Prob and GLProb can be run directly from within Jalview. Jalview integrates protein secondary structure prediction (JPred), generate trees, assesses consensus and conservation across sequence families. Journal quality figures can be generated from the results. The Jalview Desktop will run on Mac, MS Windows, Linux and any other platform that supports Java. It has been developed in Geoff Barton's group (www.compbio.dundee.ac.uk) in the School of Life Sciences (www.lifesci.dundee.ac.uk) at the University of Dundee with funding from the BBSRC and the Wellcome Trust. /system/content_providers/images/000/000/091/original/logo-boxg.png?1524735946