Swiss Institute of Bioinformatics

View home page

Materials (82)
Events (31)

Showing 30 materials out of 82

View all & filter

Video, Training materials, Mock data, E-learning

How to use Python and R with RDF Data

•• intermediate
Computer science Data management FAIR data Medical informatics Query and retrieval Data handling Data retrieval Clinical data SPARQL Query data …
Video, Training materials, E-learning

Validate Graph Data with SHACL

•• intermediate
Medical informatics FAIR data Data management Computer science Validation Data handling Clinical data SHACL Data validation RDF …
Video, Training materials, E-learning

Training Primer (RDF and SPARQL)

• beginner
Ontology and terminology Medical informatics FAIR data Data management Computer science Data retrieval Data handling Database search Query and retrieval Clinical data …
Introduction to Metagenomics Data Analysis of Microbial Communities

• beginner
First Steps with SQL for Data Science

• beginner
SQL programming
ViralZone and the Revolution in 3D Virus Structure

• beginner
infectious disease medicine and health services and resources training alan bridge group
Advanced Statistics: Statistical Modelling

••• advanced
NGS - Genome Variant Analysis

• beginner
medicine and health,next generation sequencing,training,agriculture,environmental science,medicine and health medicine and health,next generation sequencing,training,agriculture,environmental science,rémy bruggmann group,medicine and health
Version Control with Git

• beginner
programming,reproducibility,data management programming,reproducibility,data management,training
Video, Training materials, E-learning

Semantic Standards

• beginner
Computer science Data management FAIR data Medical informatics Ontology and terminology Data handling Standardisation and normalisation Clinical data Data semantics FAIR …
Video, Training materials, E-learning

Expanding the SPHN RDF Schema

• beginner
Computer science Data management FAIR data Medical informatics Ontology and terminology Data handling Visualisation Ontology visualisation Data editing Clinical data …
Video, Training materials, Mock data, E-learning

RDF Schema and Data Visualization

• beginner
Computer science Data management FAIR data Medical informatics Data visualisation Query and retrieval Data handling Data retrieval Visualisation Ontology visualisation …
Introduction to FAIR Research Data Management & Data Management Plan

• beginner
training reproducibility data management data security open data mark ibberson group
Computer Software, workflow

How to use V-pipe (SARS-CoV-2 data)

• beginner
Virology Genetic variation Workflows Variant calling Alignment Read pre-processing coronavirus NGS bioinformatics Variant-calling
Vital-IT Infrastructure Usage
NGS - Quality Control, Alignment, Visualisation

• beginner
training genes and genomes next generation sequencing environmental science medicine and health
First Steps with UNIX in Life Sciences

• beginner
programming,training programming,training,mark ibberson group
Training materials

Using bioinformatics to hunt SARS-CoV-2, its variants & its origins – a practical guide

• beginner
Bioinformatics for schools, basic bioinformatics, SARS-CoV-2 pandemic, genome analysis, protein sequence analysis, protein structure analysis, virus variants, spike protein, training material
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
Submitting, Finding and Downloading Raw Sequencing Data with ENA

• beginner
FAIR data Metadata Data submission
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
Best Practices in Programming

•• intermediate
programming reproducibility bernd rinn group
Cancer Variant Analysis

•• intermediate
Introduction to Containers and Snakemake for Reproducible Research

• beginner
container data management high-performance computing reproducibility workflows marc robinson-rechavi group training
Using ASAP for Single-Cell Analysis

• beginner
genes and genomes biomarkers experimental biology functional genomics next generation sequencing population genomics single-cell biology training transcriptomics bart deplancke group
Applied Statistics: Data Analysis in Practice

•• intermediate
biostatistics data visualisation training mauro delorenzi & frédéric schütz group
Discover ViralZone

• beginner
genes and genomes infectious disease medicine and health services and resources training alan bridge group
UniProt: Focus on Plant Proteins

• beginner
Galaxy Introduction for Life Scientists

• beginner
basic research experimental biology interoperability next generation sequencing reproducibility training michael stadler group

Showing 30 events out of 31 (also found 484 past events)

View all events & filter

Activity log

Content provider

Type

ELIXIR node

Owner

Editors

How to use Python and R with RDF Data

Validate Graph Data with SHACL

Training Primer (RDF and SPARQL)

Introduction to Metagenomics Data Analysis of Microbial Communities

First Steps with SQL for Data Science

ViralZone and the Revolution in 3D Virus Structure

Advanced Statistics: Statistical Modelling

NGS - Genome Variant Analysis

Version Control with Git

Semantic Standards

Expanding the SPHN RDF Schema

RDF Schema and Data Visualization

Introduction to FAIR Research Data Management &amp; Data Management Plan

How to use V-pipe (SARS-CoV-2 data)

Vital-IT Infrastructure Usage

NGS - Quality Control, Alignment, Visualisation

First Steps with UNIX in Life Sciences

Using bioinformatics to hunt SARS-CoV-2, its variants & its origins – a practical guide

Single-Cell Transcriptomics with R

First Steps with R in Life Sciences

Submitting, Finding and Downloading Raw Sequencing Data with ENA

Data Analysis and Representation in Python

Best Practices in Programming

Cancer Variant Analysis

Introduction to Containers and Snakemake for Reproducible Research

Using ASAP for Single-Cell Analysis

Applied Statistics: Data Analysis in Practice

Discover ViralZone

UniProt: Focus on Plant Proteins

Galaxy Introduction for Life Scientists

Make your research FAIRer with Quarto, GitHub and Zenodo

Summer School Machine Learning and AI

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

R-packaging

Federated Learning in Bioinformatics

Advanced Statistics: Statistical Modelling

First Steps with UNIX in Life Sciences

NGS - Genome Variant Analysis

Federated Learning in Bioinformatics

Introduction to High-performance Computing (sciCORE Cluster)

First Steps with Python in Life Sciences

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

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

Introduction to Machine Learning with Python

Docker and Singularity for Reproducible Research: Getting Started with Containers

Reproducible and Scalable Research with Snakemake and Software Containers

First Steps with R in Life Sciences

When immunology meets bioinformatics

Best Practices for Investigating Gene Expression Differences by Biological Sex

Version Control with Git

UNIX Shell Scripting in Life Sciences

Data Analysis and Representation in Python

Optimizing Python Code for Better Performance

Single-Cell Transcriptomics with R

Ensuring More Accurate, Generalisable, and Interpretable Machine Learning Models for Bioinformatics

Interactive Visualization with Python

Introduction to Sequencing Data Analysis

NGS - Quality Control, Alignment, Visualisation

Enrichment Analysis

Diving into deep learning - theory and applications with PyTorch

Introduction to FAIR Research Data Management & Data Management Plan