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galaxyproject
GitHub Repository: galaxyproject/training-material
Path: blob/main/learning-pathways/metagenomics.md
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layout: learning-pathway # (uncomment this line to activate it) type: use cover-image: assets/images/microgalaxy-logo.png cover-image-alt: "microgalaxy logo" editorial_board: - bebatut funding: - gallantries title: Metagenomics data processing and analysis for microbiome description: | This learning path aims to teach you the basics of Galaxy and analysis of metagenomics data. You will learn how to use Galaxy for analysis, and will be guided through the common steps of microbiome data analysis: quality control, taxonomic profiling, taxonomic binning, assembly, functional profiling, and also some applications tags: [microbiome] pathway: - section: "Module 1: Introduction to metagenomics" description: Why study the microbiome? What are the different approaches for metagenomics? This module will give you a short introduction to metagenomics. tutorials: - name: introduction topic: microbiome - section: "Module 2: Introduction to Galaxy" description: | Get a first look at the Galaxy platform for data analysis. We start with a short introduction (video slides & practical) to familiarize you with the Galaxy interface, and then proceed with a slightly longer introduction tutorials where you perform a first, very simple, analysis. tutorials: - name: galaxy-intro-short topic: introduction - name: galaxy-intro-101 topic: introduction - section: "Module 3: Quality control" description: When analysing sequencing data, you should always start with a quality control step to clean your data and make sure your data is good enough to answer your research question. tutorials: - name: quality-control topic: sequence-analysis - section: "Module 4: Community taxonomic profiling" description: | This module covers the following questions: - Which species (or genera, families, ...) are present in my sample? - What are the different approaches and tools to get the community profile of my sample? - How can we visualize and compare community profiles? This module will cover taxonomic profiling in theory and also with an example tutorial. tutorials: - name: taxonomic-profiling topic: microbiome - name: beer-data-analysis topic: microbiome - section: "Module 5: Community diversity" description: | This module covers the following questions: - How many different taxons are present in my sample? How do I additionally take their relative abundance into account? - How similar or how dissimilar are my samples in term of taxonomic diversity? - What are the different metrics used to calculate the taxonomic diversity of my samples? tutorials: - name: diversity topic: microbiome - section: "Module 6: Assembly" description: | This module covers the following questions: - Why metagenomic data should be assembled? - What is the difference between co-assembly and individual assembly? - What is the difference between reads, contigs and scaffolds? - How tools based on De Bruijn graph work? - How to assess the quality of metagenomic data assembly? tutorials: - name: metagenomics-assembly topic: microbiome - section: "Module 7: Taxonomic binning" description: | This module covers the process used to classify DNA sequences obtained from metagenomic sequencing into discrete groups, or bins, based on their similarity to each other. tutorials: - name: metagenomics-binning topic: microbiome - section: "Module 8: Applying concepts to metatranscriptomics data" description: | This module covers the following questions: - How to analyze metatranscriptomics data? - What information can be extracted of metatranscriptomics data? - How to assign taxa and function to the identified sequences? tutorials: - name: metatranscriptomics topic: microbiome - section: "Recommended follow-up tutorials" tutorials: - name: metaplasmidome_query topic: microbiome - name: pathogen-detection-from-nanopore-foodborne-data topic: microbiome
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