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Deep Learning for Life Sciences - fundamentals and applications

• beginner
training data mining machine learning programming artificial intelligence prediction
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
A guided tour through Cellosaurus - now on YouTube

• beginner
basic research database curation reproducibility services and resources training amos bairoch & lydie lane group
ViralZone and the Revolution in 3D Virus Structure

• beginner
infectious disease medicine and health services and resources training alan bridge group
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
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 …
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
Make your research FAIRer with Quarto, GitHub and Zenodo

• beginner
FAIR data management reproducible research
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 Statistics and Data Visualisation with R

• beginner
biostatistics data visualisation training raphael gottardo group
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
Using Large Language Models for Biodata Exploration: From Theory to Practice

• beginner
machine learning mark ibberson group training
Introduction to bulk RNA-Seq: From Quality Control to Pathway Analysis

• beginner
functional genomics genes and genomes next generation sequencing transcriptomics training
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

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Deep Learning for Life Sciences - fundamentals and applications

First Steps with R in Life Sciences

A guided tour through Cellosaurus - now on YouTube

ViralZone and the Revolution in 3D Virus Structure

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

Gene Expression made Useful Easily: Tools and Database of Bgee

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

Make your research FAIRer with Quarto, GitHub and Zenodo

Introduction to Bayesian Statistics with R

Long-read Sequence Analysis

UniProt: Focus on Plant Proteins

Introduction to Statistics and Data Visualisation with R

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

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

Introduction to bulk RNA-Seq: From Quality Control to Pathway 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