Training materials
Difficulty level: Advanced
and Target audience: Bioscientists or General Interest or Graduate students or Students or beginner bioinformaticians
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Learn to Discover (L2D): Data Handling and Machine Learning using Python
••• advancedMachine learning Artificial Intelligence data science Python Programming Bioinformatics Biomedical data -
hands-on tutorial
Hands-on for 'Pox virus genome analysis from tiled-amplicon sequencing data' tutorial
••• advancedvariant-analysis virology one-health -
hands-on tutorial
Hands-on for 'Python - Multiprocessing' tutorial
••• advanceddata-science jupyter-notebook -
hands-on tutorial
Hands-on for 'Genome annotation with Maker' tutorial
••• advancedgenome-annotation eukaryote -
hands-on tutorial
Hands-on for 'Peptide and Protein Quantification via Stable Isotope Labelling (SIL)' tutorial
••• advancedproteomics DDA SILAC -
hands-on tutorial
Hands-on for 'Peptide and Protein ID using OpenMS tools' tutorial
••• advancedproteomics DDA HeLa -
hands-on tutorial
Hands-on for 'dplyr & tidyverse for data processing' tutorial
••• advanceddata-science R jupyter-notebook rmarkdown-notebook -
hands-on tutorial
Hands-on for 'Rule Based Uploader: Advanced' tutorial
••• advancedgalaxy-interface collections tags -
hands-on tutorial
High Throughput Molecular Dynamics and Analysis
••• advancedComputational chemistry