Training materials
Keywords: Chip-seq or Exploratory-analysis or HCI or Molecular or Programming or life-sciences or metagenomics or single-cell
-
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 -
Bioinformatics, Computational Biology, Computer Science, Programming, Coding, Education
R for Beginners
• beginnerBioinformatics Computational biology Computer science Coding Programming -
Learning pathway
Linux learning pathways
• beginnerBioinformatics Linux Programming -
Fundamental Skills in Bioinformatics
-
hands-on tutorial
Gentle Introduction to Python
• beginnerPython script Software engineering Programming Python -
E-Learning, Training materials
Biology meets Programming - Introduction to Bioinformatics using Python
• beginnerBioinformatics Biology Python Python biologists Programming Data Analysis Sequence Analysis -
hands-on tutorial
Hands-on for 'Taxonomic Profiling and Visualization of Metagenomic Data' tutorial
• beginnerMetagenomics metagenomics taxonomic profiling -
hands-on tutorial
Hands-on for 'Pre-processing of 10X Single-Cell ATAC-seq Datasets' tutorial
-
hands-on tutorial
Hands-on for 'Inferring Trajectories using Monocle3 (R)' tutorial
-
hands-on tutorial
Hands-on for 'Pathogen detection from (direct Nanopore) sequencing data using Galaxy - Foodborne Edition' tutorial
• beginnerMetagenomics metagenomics Nanopore data analysis Pathogens detection Phylogenetic tree Heatmap cyoa