List of Training Materials

Background Material

Factors influencing course design

  • Organisms
  • Audience/Student expertise
  • Course length
  • Compute resources
  • Trainer knowledge
  • Environment/Biome
  • Available Datasets

Background

  • Experimental Design
  • Computer Literacy
  • Cloud Computing
  • Sequencing options
  • Statistical power

Pre-Processing

Data treatment/pre-processing

  • Quality
  • Filtering Reads
  • Trimming Reads
  • Contamination
  • Barcodes / multiplexing
  • Read Merging

Links to resources that cover several for the above topics

Assembly

  • Short reads
  • Long reads
  • Hybrid
  • Data reduction / Clustering / Dereplication

Links to resources that cover several for the above topics

Types of Analysis

Marker gene amplicons

  • 16s rRNA, 18s rRNA, ITS1/2
  • Taxonomic profiling
  • OTU clustering
  • taxonomy -> function inferences

Links to resources that cover several for the above topics

Shotgun metagenomics & metatranscriptomics

  • To assemble or not?
  • To gene call or not?
  • Kmers (“reference-free”)
  • Taxonomic profiling
  • Coverage estimation
  • Reference mapping / alignment
  • Gene Catalogues
  • Marker-Based approaches
  • Read-based approaches
  • Functional profiling/annotation
  • Functional hierarchies / ontologies
  • Depth comparisons
  • Binning
  • Whole genome assembly and evaluation
  • Pathway Analysis / Metabolic modeling
  • Cross assembly

Comparative Analyses

Statistics and visualization

  • Metadata integration
  • Sample comparison
  • Ecological measurements/indexes
  • Multivariate and comparative statistics
  • Machine Learning

Links to resources that cover several for the above topics