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Workshops and courses
Introduction to Machine Learning with Python
26 May 2025 @ 09:00 - 17:00
Online
data mining machine learning training torsten schwede & thierry sengstag group mark ibberson group -
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
Principles of Machine Learning (IN-PERSON)
1 April 2025 @ 08:30 - 15:30
Cambridge, United Kingdom
Face-to-face
HDRUK -
Workshops and courses
8th Advanced in silico Drug Design workshop 2025
27 - 31 January 2025
Hybrid
Drug discovery Drug development Structure analysis Data acquisition Molecular modelling Molecular docking Molecular surface analysis Structure database search in silico drug design Drug design Drug screening pharmacophore chemical biology QSAR molecular modelling PDBe PDBe-KB ChEMBL De novo deep learning cheminformatics AlphaFold Quantum mechanics/molecular mechanics -
Workshops and courses
Statistics and Machine Learning for Life Sciences
5 - 6 December 2024
Zürich, Switzerland
Face-to-face
training biostatistics data mining machine learning torsten schwede & thierry sengstag group -
Workshops and courses
Statistics and Machine Learning for Life Sciences
3 - 4 April 2025
Online
training biostatistics data mining machine learning torsten schwede & thierry sengstag group -
Workshops and courses
Microscopy data analysis: machine learning and the BioImage Archive
31 March - 4 April 2025
Online
Machine learning Bioimaging Image analysis Bioimage analysis Machine learning models Scientific computing Light microscopy Electron microscopy -
Workshops and courses
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
Machine Learning for bioinformatics and system biology (2025) – (BioSB Fundamental course)
20 - 24 January 2025
Amsterdam UMC, Amsterdam UMC
Face-to-face
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Workshops and courses
Using Large Language Models for Biodata Exploration: From Theory to Practice
19 May 2025 @ 09:00 - 17:00
Lausanne, Switzerland
Face-to-face
machine learning mark ibberson group training -
Workshops and courses
From data to publication: how ELIXIR Norway can help you for free
9 December 2024 @ 09:00 - 12:00
Oslo, Norway
Face-to-face
Data management FAIR data Data acquisition Data management planning Data analysis Data handling -
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
Showing 30 materials
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aml4td/website
Machine learning R
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jmacdon/Bioc2020Anno
Genome annotation 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 -
Presentation
DS Wizard and its Use
• beginnerData management DMP DMP tools data stewardship FAIR FAIR data -
e-learning
Regression in Machine Learning
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Basics of machine learning
• beginnerStatistics and probability Statistics and machine learning -
e-learning
Clustering in 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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Video
Introduction to Machine Learning Algorithms
•• intermediateMachine learning -
Training materials
Machine Learning & BioStatistics Hackathon 2020
• beginnerMachine learning Statistics and probability Computer science machine learning biostatistics eLearning EeLP -
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 -
JuliaAcademy/Foundations-of-Machine-Learning
Machine learning Julia
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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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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
Machine Learning Modeling of Anticancer Peptides
•• intermediateProteomics ML cancer -
e-learning
Introduction to Machine Learning using R
•• intermediateStatistics and probability Statistics and machine learning interactive-tools -
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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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 -
Recorded webinar
Pangenomics and machine learning for crop improvement
Agricultural science Machine learning Genomics Genotype and phenotype
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sib-swiss/statistics-and-machine-learning-training
Machine learning Statistics and probability Statistics
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