Training materials
Scientific topics: Bioinformatics or RNA-Seq
and Target audience: Biologists with little or no prior computationa... or Biologists, Genomicists, Computer Scientists or bioinformaticians or biology and bioinformatics sophomore undergradu... or policy officer
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e-learning
Vocabularies for bioinformatics
• beginnerBioinformatics Data management Data submission, annotation, and curation Data handling Data retrieval Database search Ontologies Interoperability Standardised vocabulary Standards -
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 -
Tutorial
Datanator tutorial
• beginnerMolecular biology Cell biology Systems biology Bioinformatics Omics Query and retrieval Filtering genomics Proteomics transcriptomics Metabolomics reaction kinetics Kinetic modeling meta analysis -
course materials
Single-cell RNA-seq data analysis with R 2022
•• intermediateRNA-Seq RNA-Seq Single Cell technologies scRNA-seq -
course materials, Video
Single cell RNA-seq data analysis with Chipster
• beginnerRNA-Seq RNA-Seq Single Cell technologies scRNA-seq -
Writing functions in Python programming