Learning pathways are sets of tutorials curated for you by community experts to form a coherent set of lessons around a topic, building up knowledge as you go.
We always recommend following the tutorials in the order they are listed in the pathway.
A beginner-friendly introduction to de.NBI Cloud. You will learn how to identify pathogenic bacteria within publicly available metagenomic datasets and scale up a bioinformatics workflow using SimpleVM.
This learning path introduces the complete metagenomic analysis workflow, from raw read quality control through assembly, evaluation, binning, and classification. You will learn how to process Illumina short-read data, assemble complex microbial communities, evaluate assembly quality, recover metagenome-assembled genomes (MAGs), and assign taxonomic labels using standardized, phylogeny-aware frameworks.
Transform a trained model into web service with UI using Streamlit.
This learning path introduces the complete workflow for analyzing isolate genome sequencing data generated with Oxford Nanopore Technologies (ONT) and Illumina platforms. Starting from raw ONT signal data, you will learn how to perform basecalling, quality control, genome assembly, polishing, hybrid assembly, genome annotation, and downstream analysis of long-read metagenomic data.