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Statistics and Machine Learning for Life Sciences

•• intermediate
training biostatistics data mining machine learning torsten schwede & thierry sengstag group
Single-Cell Transcriptomics with R

•• intermediate
genes and genomes biochemistry biomarkers experimental biology functional genomics next generation sequencing population genomics single-cell biology training transcriptomics …
First Steps with R in Life Sciences

• beginner
training,biostatistics,data visualisation,programming,mark ibberson group training,biostatistics,data visualisation,programming,torsten schwede & thierry sengstag group
ViralZone and the Revolution in 3D Virus Structure

• beginner
infectious disease medicine and health services and resources training alan bridge group
Deep Learning for Life Sciences - fundamentals and applications

• beginner
training data mining machine learning programming artificial intelligence prediction
Biodiversity bioinformatics: from large-scale phylogenomics to gene families and functions

• beginner
biodiversity non model organisms evolution and phylogeny genes and genomes comparative genomics evolutionary biology training marc robinson-rechavi group robert waterhouse group christophe dessimoz group
When immunology meets bioinformatics

• beginner
Version Control with Git

• beginner
programming,reproducibility,data management programming,reproducibility,data management,training
Mining enzyme data in UniProtKB using Rhea

• beginner
biochemistry data mining lipids ontology proteins and proteomes training alan bridge group
First Steps with Python in Life Sciences

• beginner
data management data visualisation programming reproducibility training torsten schwede & thierry sengstag group mark ibberson group
Introduction to Statistics with Python

• beginner
programming biostatistics torsten schwede & thierry sengstag group
Best Practices in Programming

•• intermediate
programming reproducibility bernd rinn group
Diving into deep learning - theory and applications with PyTorch

•• intermediate
A guided tour through Cellosaurus - now on YouTube

• beginner
basic research database curation reproducibility services and resources training amos bairoch & lydie lane group
Make your research FAIRer with Quarto, GitHub and Zenodo

• beginner
FAIR data management reproducible research
Gene Expression made Useful Easily: Tools and Database of Bgee

• beginner
Bgee genes and genomes evolution and phylogeny services and resources comparative genomics database curation data management data visualisation transcriptomics training …
Introduction to Bayesian Statistics with R

•• intermediate
biostatistics training
Long-read Sequence Analysis

• beginner
training genes and genomes next generation sequencing environmental science medicine and health rémy bruggmann group
UniProt: Focus on Plant Proteins

• beginner
Introduction to Viral Bioinformatics

• beginner
genes and genomes infectious disease medicine and health services and resources training
Cancer Variant Analysis

•• intermediate
NGS - Quality Control, Alignment, Visualisation

• beginner
training genes and genomes next generation sequencing environmental science medicine and health
Docker and Singularity for Reproducible Research: Getting Started with Containers

• beginner
reproducibility container data management data security high-performance computing
Introduction to Sequencing Data Analysis

• beginner
training genes and genomes next generation sequencing environmental science medicine and health
Protein Sequence Databases and Sequence Annotation at UniProtKB

• beginner
alan bridge group database curation ontology proteins and proteomes training
ISMARA and CREMA: automatically inferring gene regulatory networks from gene expression, chromatin accessibility or epigenome data

• beginner
Introduction to Machine Learning with Python

• beginner
data 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
Data Analysis and Representation in Python

•• intermediate
programming,data analysis,training,data visualisation,torsten schwede & thierry sengstag group,mark ibberson group programming,training,torsten schwede & thierry sengstag group,mark ibberson group
Enzymes: Extracting Biological Insight Using UniProt

• beginner
Using Large Language Models for Biodata Exploration: From Theory to Practice

• beginner
machine learning mark ibberson group training

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Statistics and Machine Learning for Life Sciences

Single-Cell Transcriptomics with R

First Steps with R in Life Sciences

ViralZone and the Revolution in 3D Virus Structure

Deep Learning for Life Sciences - fundamentals and applications

Biodiversity bioinformatics: from large-scale phylogenomics to gene families and functions

When immunology meets bioinformatics

Version Control with Git

Mining enzyme data in UniProtKB using Rhea

First Steps with Python in Life Sciences

Introduction to Statistics with Python

Best Practices in Programming

Diving into deep learning - theory and applications with PyTorch

A guided tour through Cellosaurus - now on YouTube

Make your research FAIRer with Quarto, GitHub and Zenodo

Gene Expression made Useful Easily: Tools and Database of Bgee

Introduction to Bayesian Statistics with R

Long-read Sequence Analysis

UniProt: Focus on Plant Proteins

Introduction to Viral Bioinformatics

Cancer Variant Analysis

NGS - Quality Control, Alignment, Visualisation

Docker and Singularity for Reproducible Research: Getting Started with Containers

Introduction to Sequencing Data Analysis

Protein Sequence Databases and Sequence Annotation at UniProtKB

ISMARA and CREMA: automatically inferring gene regulatory networks from gene expression, chromatin accessibility or epigenome data

Introduction to Machine Learning with Python

Data Analysis and Representation in Python

Enzymes: Extracting Biological Insight Using UniProt

Using Large Language Models for Biodata Exploration: From Theory to Practice