Training materials
Scientific topics: Gene expression and microarray or Omics or Open science or Transcriptomics
and Difficulty level: Beginner or Intermediate
-
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education, Data Science, Transcriptomics, Machine Learning
R for Data Science
•• intermediateBioinformatics Computational biology Machine learning Transcriptomics Computational Biology Coding Programming Data Science Data Analysis Computer Science Machine Learning -
Learning pathway
Version control with Git
•• intermediateSoftware engineering Open science Version control -
lessons, e-learning
Introduction to Data Management Practices - Data Management Plans
• beginnerData management FAIR data Open science CONVERGE Data Stewardship Wizard Data management plan -
lessons, e-learning
Introduction to Data Management Practices - Cleaning tabular data with OpenRefine
• beginnerData management Open science FAIR data FAIR CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Data publication
• beginnerData management Open science FAIR data FAIR CONVERGE -
lessons, e-learning
Introduction to Data Management Practices - Open Science and FAIR
• beginnerData management Open science FAIR data FAIR CONVERGE -
hands-on tutorial
Bulk RNASeq analysis
•• intermediateTranscriptomics Gene expression Differential gene expression profiling Expression analysis Data analysis NGS RNASeq transcriptomics -
hands-on tutorial
Hands-on for 'Visualization of RNA-Seq results with Volcano Plot' tutorial
• beginnerTranscriptomics transcriptomics -
hands-on tutorial
Hands-on for 'Visualization of RNA-Seq results with Volcano Plot in R' tutorial
•• intermediateTranscriptomics transcriptomics interactive-tools -
hands-on tutorial
Hands-on for 'Reference-based RNA-Seq data analysis' tutorial
• beginnerTranscriptomics transcriptomics bulk rna-seq collections drosophila QC cyoa
- 1
- 2