Training materials
Authors: Alex Ostrovsky or Alexander Botzki or Paul Yorke or Personalized Health Informatics Group or SIB Swiss Institute of Bioinformatics or Vicky Schneider
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Gene Expression made Useful Easily: Tools and Database of Bgee
• beginnerBgee genes and genomes evolution and phylogeny services and resources comparative genomics database curation data management data visualisation transcriptomics training marc robinson-rechavi group -
Enrichment Analysis
•• intermediatebiostatistics,experimental biology,functional genomics,genes and genomes,training biostatistics,experimental biology,functional genomics,genes and genomes,training,mauro delorenzi & frédéric schütz group biostatistics,experimental biology,functional genomics,genes and genomes,training,raphael gottardo group -
First Steps with Python in Life Sciences
• beginnerdata management data visualisation programming reproducibility training torsten schwede & thierry sengstag group mark ibberson group -
Docker and Singularity for Reproducible Research: Getting Started with Containers
• beginnerreproducibility container data management data security high-performance computing -
Applied Statistics: Data Analysis in Practice
•• intermediatebiostatistics data visualisation training mauro delorenzi & frédéric schütz group -
Discover ViralZone
• beginnergenes and genomes infectious disease medicine and health services and resources training alan bridge group -
A guided tour through Cellosaurus - now on YouTube
• beginnerbasic research database curation reproducibility services and resources training amos bairoch & lydie lane group -
Online material, hands-on tutorial
Introduction to Docker and Singularity
• beginnerReproducibility Container Singularity -
Video, E-Learning
How to create a concept for the SPHN Dataset
• beginnerComputer science Data management FAIR data Medical informatics Design Standardisation and normalisation Clinical data Semantic Framework FAIR Concepts design Ontology Semantic inheritance SNOMED CT Conceptualization -
Video, E-learning
FAIR principles in practice for health data
• beginnerComputer science Data management FAIR data Medical informatics Standardisation and normalisation Design Clinical data RDF Knowledge graph Semantic framework FAIR Findability Accessibility Interoperability Reusability