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  Annotation or re-annotation

  Know the gene content and the metabolism of your strain

Genomics approaches are mostly conducted with semi-automatic or fully manual methods: your data will always be treated by an expert bioanalyst, and manually curated before providing you with the results. In other words: we never apply a simple Blast on your data and call that an annotation.

Optionally, at the end of the process, Genostar is able to deliver a pre-configured software allowing you to browse your genomes at the genomic and metabolic levels, including the mapping of your gene content on KEGG metabolic maps. Learn more about Genostar Browser

 

 

In silico strain characterisation: 

  • Identification of the best reference strains
  • Attribution of a taxonomic class

 

Structural annotation: 

  • Identification of the full set of coding sequences (CDS)
  • Locations of tRNA and rRNA

 

Functional annotation: 

  • Attribution of a standard gene symbol (from SwissProt, TrEMBL, NCBI nr…)
  • Description of the gene products
  • Attribution of a gene ontology: cellular components, molecular functions, biological processes (GO terms)
  • Prediction of gene products with enzymatic activities (EC numbers)
  • Identification of functional domains (Pfam)

 

Metabolism exploration

  • Prediction of the enzymatic activities
  • Identification of the catalysed reactions
  • Identification of the associated metabolic pathways
  • Identification of metabolic pathways involving specific metabolites
  • Structural search to identify metabolites and linked reactions or pathways

Deep exploration: search of elements of interest

 

  • Genes (e.g. genes of virulence)
  • Mutations (e.g. leading to antibiotic resistance)
  • Regions (e.g. strong promoters, RBS)
  • Enzymatic activities (e.g. involved in a detoxification pathway)