Training materials
Target audience: Biologists, Genomicists, Computer Scientists or bioinformaticians or policy officer
and Authors: Anamaria Crisan or Frédéric de Lamotte or Heli Pessa or Lieven Clement or Paulette Lieby
-
slides, R Shiny application
Proteomics Data Analysis (PDA)
•• intermediateProteomics proteomics quantitative proteomics -
Slides
FAIR data - Module 4 (share and publish data)
• beginnerBioinformatics Biology Data management data sharing Data publishing legal framework data warehouse licensing data reuse -
Slides
FAIR data - Module 3 (Metadata)
• beginnerBioinformatics Biology Data management Data handling metadata data annotation life science standards data sharing -
Slides
FAIR data - Module 2 (data life cycle)
• beginnerData management Biology Bioinformatics Data handling Data preserving Data storage -
Slides
FAIR data - Module 1 (research data)
• beginnermetadata Data Life Cycle Reproducibility Data management plan -
course materials
Single-cell RNA-seq data analysis with R 2022
•• intermediateRNA-Seq RNA-Seq Single Cell technologies scRNA-seq -
Infectious Disease Genomic Epidemiology 2018 Module 7-Data Visualization
-
Infectious Disease Genomic Epidemiology 2018 Module 5-Phylogeographic Analysis
-
Infectious Disease Genomic Epidemiology 2017 Module 7-Data Visualization