Course Outline

Introduction to Microbial Genomics

  • Overview of microbial genomics and metagenomics
  • Sequencing technologies and typical study designs
  • Key file formats and data organization

Quality Control and Preprocessing

  • Read quality assessment and trimming
  • Host removal and contamination screening
  • Read normalization and downstream considerations

Taxonomic Profiling Approaches

  • Marker-based profiling with MetaPhlAn
  • K-mer and classification methods with Kraken2 and Bracken
  • Comparing profiling outputs and visualization

Metagenome Assembly and Binning (overview)

  • Assembly strategies and SPAdes usage
  • Contig binning concepts and common tools (brief)
  • Assessing assembly quality and completeness

Genome Annotation and MLST

  • Annotating genomes with Prokka
  • Performing MLST and interpreting sequence types
  • Generating reports for sharing results

SNP Calling and Phylogenetics

  • Mapping-based SNP calling workflows with Snippy
  • Building phylogenetic trees with IQ-TREE
  • Tree visualization and interpretation with iTOL

Antimicrobial Resistance and Functional Profiling

  • AMR gene detection with AMRFinderPlus, CARD, and ResFinder
  • Functional profiling and pathway summaries
  • Reporting resistance and functional annotations

Reproducible Workflows and Best Practices

  • Using Conda, Docker, and pipeline templates for reproducibility
  • Data management, metadata standards, and FAIR principles
  • Scaling analyses with cloud resources and notebooks

Case Studies and Hands-on Labs

  • 16S/18S amplicon analysis from raw reads to taxonomic table
  • Metagenomic profiling and comparative analysis across samples
  • Genome assembly, annotation, SNP phylogeny, and AMR reporting

Summary and Next Steps

Requirements

  • Familiarity with basic biological concepts such as DNA and genes
  • Comfort with using a command-line interface is recommended
  • Basic understanding of sequencing concepts and file formats (FASTQ, FASTA)

Audience

  • Microbiologists
  • Academic researchers
  • Research staff and industry scientists interested in microbial genomics
 21 Hours

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