CyanoCyc cyanobacterial web portal

Lisa R. Moore, Ron Caspi, Douglas A. Campbell, John R. Casey, Sophie Crevecoeur, David J. Lea-Smith, Bin Long, Naaman M. Omar, Suzanne M. Paley, Nicolas M. Schmelling, Alejandro Torrado, Jonathan P. Zehr, Peter D. Karp

Research output: Contribution to journalArticlepeer-review


CyanoCyc is a web portal that integrates an exceptionally rich database collection of information about cyanobacterial genomes with an extensive suite of bioinformatics tools. It was developed to address the needs of the cyanobacterial research and biotechnology communities. The 277 annotated cyanobacterial genomes currently in CyanoCyc are supplemented with computational inferences including predicted metabolic pathways, operons, protein complexes, and orthologs; and with data imported from external databases, such as protein features and Gene Ontology (GO) terms imported from UniProt. Five of the genome databases have undergone manual curation with input from more than a dozen cyanobacteria experts to correct errors and integrate information from more than 1,765 published articles. CyanoCyc has bioinformatics tools that encompass genome, metabolic pathway and regulatory informatics; omics data analysis; and comparative analyses, including visualizations of multiple genomes aligned at orthologous genes, and comparisons of metabolic networks for multiple organisms. CyanoCyc is a high-quality, reliable knowledgebase that accelerates scientists’ work by enabling users to quickly find accurate information using its powerful set of search tools, to understand gene function through expert mini-reviews with citations, to acquire information quickly using its interactive visualization tools, and to inform better decision-making for fundamental and applied research.

Original languageEnglish
Article number1340413
JournalFrontiers in Microbiology
Early online date31 Jan 2024
Publication statusPublished - 31 Jan 2024


  • bioinformatics
  • biotechnology
  • curation
  • cyanobacteria
  • CyanoCyc
  • database
  • genomes
  • metabolism

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