Genomic Features are defined segments of a genome. Most often features will code for proteins or RNAs, however some correspond to pseudogenes or repeat regions. We currently support over 40 Genomic Feature Types. Learn how to find and use PATRIC Feature Tables in our Feature Table FAQs.

What do we mean by ...


Genome Annotation:

Genome annotation refers to the systematic analysis of a genome to identify all protein and RNA coding genes and characterize their functions. PATRIC supports genome annotations from multiple sources, including:

  • Original annotations from GenBank / RefSeq
  • Consistent annotation across all bacterial genomes using RAST

Genomic Features:

Genomic Features refer to defined segments of a genome, which often code for proteins and RNAs. Common feature types include:

  • Gene
  • CDS
  • rRNA
  • tRNA
  • Misc RNA
  • Pseudogene

Functional Properties:

Functional properties refer to the description and ontological terms used to characterize protein functions. Common functional properties assigned to proteins include:

  • Gene name
  • Function
  • GO terms
  • EC numbers
  • Metabolic pathways

Specialty Genes:

Specialty genes refer to the genes possessing properties that are of special interest to the infectious disease researchers. Classes of specialty genes include:

  • Virulence factors
  • Antibiotic resistant genes
  • Secreted proteins
  • Essential genes
  • Drug and vaccine targets
  • Human homologs

Find and Analyze Genomic Features with PATRIC Tools

View Feature Tutorials

  • Data in PATRIC is organized in a similar fashion at various taxonomic levels throughout the website.  Follow along in this Mycobacterium example and see what data is available and where to find it for your favorite organisms/genomes/genes.

  • This downloadable pdf contains screenshots and detailed step-wise instructions for locating data of interest, such as finding a particular gene, finding the pan-proteome for all Brucella genomes using the Protein Family Sorter and Heatmap, and examining pathways across Brucella using the Comparative Pathway Tool and Heatmap.

  • Find out more about PATRIC data, analysis tools, and functionality in our Frequently Asked Questions.

  • This downloadable pdf contains screenshots and detailed step-wise instructions for locating data of interest, such as finding a particular gene, finding the pan-proteome for all Mycobacterium genomes using the Protein Family Sorter and Heatmap, and examining pathways across Mycobacterium using the Comparative Pathway Tool and Heatmap.

  • See how to use PATRIC tables and the Table Toolbar including sorting, downloading, analysis tools, creating persistent column customization, and saving items to your workspace.

How Do We Process and Clean Up Our Data?

How Do We Process and Clean Up Our Data?

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