Extensive, Highly Curated Data
BioCyc integrates genome data with a comprehensive body of additional data including metabolic reconstructions, regulatory networks, protein features, orthologs, gene essentiality, and atom mappings.
Genome Browser image
A Vast Set of Bioinformatics Tools
Browsers for genomes, metabolic networks, and regulatory networks. Transcriptomics and metabolomics data analysis, comparative analysis, and metabolic route search. Sequence search and alignment.
 
Fuel Your Research
Kickstart your research with BioCyc mugs. Our Cyc-branded mugs are perfect for late-night analysis sessions or early mornings at your desk. Stylish, dishwasher-safe, and designed for the scientifically inclined. Get Cyc'd for your daily dose of caffeine!
 
Explore Metabolic Maps for Thousands of Organisms
The Cellular Overview enables you to browse through zoomable metabolic map diagrams that are customized to each BioCyc organism.
Cellular Overview image generated by Pathway Tools.
RouteSearch: Search for Paths Through the Metabolic Network
Search for lowest-cost paths through the metabolic network of the selected organism.
Metabolic Reconstruction from Sequenced Genomes
Install SRI's Pathway Tools software (free to academics) to predict metabolic pathways for sequenced genomes, generate metabolic models.
Gene Expression Data Analysis
Multiple tools are available in this website for analysis of gene expression data.
Cellular Overview Omics Viewer image generated by Pathway Tools.
Comparative Genome Analysis
Multiple comparative analysis tools are available in this website.
Multi-organism Genome Browser image generated by Pathway Tools.
The BioCyc Database Collection
Tier 1 databases such as EcoCyc are the most highly curated. BioCyc databases are computationally derived from MetaCyc.
Request Addition of New Genome to BioCycBioCyc Database Collection
The Omics Dashboard: A New View of Omics Data
Visualize omics data as a set of graphs hierarchically organized by functional category. Drill down for more detail in areas of interest.
Cellular Dashboard image generated by Pathway Tools.
20,080 Pathway/Genome Databases to Search
BioCyc is a collection of 20,080 Pathway/Genome Databases (PGDBs) for model eukaryotes and for thousands of microbes, plus software tools for exploring them. BioCyc is an encyclopedic reference that contains curated data from 153,000 publications, and is produced through an international collaboration.
The EcoCyc and Faecalibacterium prausnitzii A2-165 databases are freely available. Access to the other BioCyc databases requires a paid subscription.
The following websites are part of BioCyc. Opening these sites in your browser is a convenient way to pre-select that database for searches.
What people are saying
See more BioCyc testimonials
"BsubCyc is a tool of the utmost value."
Penn StatePaul Babitzke
Prof. of Biochemistry
& Molecular Biology
"My lab uses these resources on a daily basis."
Patricia Kiley,
Professor and Chair,
Dep't. of Biomolecular Chemistry
"We rely on BioCyc's Gene Pages and Overview Diagrams almost daily."
University of MinnesotaArkady Khodursky
Assoc. Prof. Biochemistry
"We use BioCyc and MetaCyc extensively to investigate the metabolic and regulatory processes of organisms we study."
William Cannon, Team Lead
Computational Biology
"BioCyc is the go-to resource of knowledge and tools for Ginkgo scientists."
Ginkgo Bioworks"BioCyc is a tremendous resource for pathway analysis in metabolomics."
University of GeorgiaArt Edison, Dept of Genetics
"We make extensive use of the BioCyc full metabolic network diagram for omics data analysis."
Great Lakes BioenergyTimothy J. Donohue, Director
"I have not found another database that has a better interface than BioCyc."
University of MichiganGary B. Huffnagle, Professor
Microbiology and Immunology
Learning Library
Tutorial Videos
Tutorial #1: Introduction to BioCyc
Tutorial #2: Introduction to SmartTables
Tutorial #3: Zoomable Metabolic Map, Comparative Tools, Regulatory Network
Tutorial #4: Omics Data Analysis
Tutorial #5: Pathway Collages
Tutorial #6: Creating a Pathway/Genome Database
- Part 1A: Introduction to Database Building and Pathologic (14:04)
- Part 1B: Building a Database: Detailed Pathologic Example (23:53)
- Part 2A: General Editing Strategies (8:00)
- Part 2B: Creating and Editing Reactions and Compounds (17:32)
- Part 2C: Updating Proteins, Citations, GO Terms, and Enzymatic Reactions (26:10)
- Part 2D: Making and Editing Pathways (9:42)