Training materials
Difficulty level: Intermediate
and Scientific topics: Computational chemistry or DNA methylation or Data identity and mapping or Phenomics or Transcriptomics
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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 -
Presentation
FAIRtracks and Omnipy – FAIRtracks interoperability story
•• intermediateData submission, annotation, and curation Data identity and mapping Data quality management Data governance Workflows Data handling -
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 in R' tutorial
•• intermediatetranscriptomics interactive-tools -
hands-on tutorial
Protein target prediction of a bioactive ligand with Align-it and ePharmaLib
•• intermediateComputational chemistry -
hands-on tutorial
Protein-ligand docking
•• intermediateComputational chemistry -
hands-on tutorial
Hands-on for 'Virtual screening of the SARS-CoV-2 main protease with rxDock and pose scoring' tutorial
•• intermediatecomputational-chemistry covid19 one-health -
hands-on tutorial
Running molecular dynamics simulations using GROMACS
•• intermediateComputational chemistry -
hands-on tutorial
Analysis of molecular dynamics simulations
•• intermediateComputational chemistry -
hands-on tutorial
Running molecular dynamics simulations using NAMD
•• intermediateComputational chemistry
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