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  1. Taxonomic Annotations
  • Files and Directories
    • Understanding your file system
    • Logging onto the Cloud
    • Introducing the Shell
  • Using the Command Line
    • Navigating Files and Directories
    • Working with Files and Directories
    • Redirection
  • QC & Assembly
    • Introduction to Metagenomics
    • Assessing Read Quality, Trimming and Filtering
    • Metagenome Assembly
  • Polishing
    • Polishing an assembly
    • QC polished assembly
  • Binning & Functional Annotation
    • Metagenome Binning
    • QC of metagenome bins
    • Functional annotation
  • Taxonomic Annotations
    • Taxonomic Assignment
    • Diversity Tackled With R
    • Taxonomic Analysis with R
  • Extras
    • Data
    • Glossary
    • Workflow Reference

Taxonomic Annotations

Now we’ve assembled and polished our metagenome, it’s time to start using it! In this lesson we will find out which species are present in our sample using taxonomic assignment. This is possible due to the vast amount of sequence data that already exists. We can compare our reads to a database of these sequences and see where the best matches are.

There are a few ways of doing this but we will be using a strategy called k-mers for high accuracy and rapid classification. We’ll then go on to visualise our classification results using an interactive browser application.

After looking at our taxonomy we will use our results to explore and visualise the diversity of our sample.

By the end of this lesson you will be able to:

  • apply Kraken2 to perform taxonomic assignment using exact k-mer matches
  • use Pavian to visualise and compare samples dynamically
  • understand α and β diversity
  • calculate a biological observation matrix (BIOM) from Kraken output using KrakenBiom
  • plot metagenome diversity using the phyloseq library
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Functional annotation
Taxonomic Assignment

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