Webinar: Omics data analysis with BioCyc: Pathways, Regulation, and Therapeutic Target Identification
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Webinar: Omics data analysis with BioCyc: Pathways, Regulation, and Therapeutic Target Identification In-Person
Registration required. *Online Event*
Overview
BioCyc is a collection of over 20,000 organism-specific databases integrating genomic and metabolic pathway information. These databases combine computational predictions with imported data, and selected organisms receive extensive literature-based manual curation. The platform also includes over 60 bioinformatics tools to help search, interpret and visualize biological data.
This practical workshop will introduce strategies for exploring databases in BioCyc, analyzing omics datasets, comparing genomes, and using search and visualization tools to investigate biological systems.
The CushingWhitney Medical Library provides free access to BioCyc to anyone with an email address @yale.edu
The session will include a presentation, practical demonstrations, and time for questions at the end. Attendees can create a free account to follow along with the tutorial here: https://biocyc.org/new-account.shtml
Attendees will learn:
- Navigate BioCyc and select appropriate organism-specific databases.
- Understand the differences between the primary BioCyc platforms: BioCyc databases, and Pathway Tools database-builder.
- Distinguish between computationally generated and manually curated biological information.
- Search and interpret gene, metabolite, reaction, and pathway information.
- Explore organism-specific genome browsers and cellular overview diagrams.
- Upload, visualize, and interpret omics datasets.
- Explore the Comparative Genome Dashboard
- Use the Chokepoint Reaction Finder to identify unique metabolic consumers and producers.
- Search for metabolic routes within individual organisms or groups of organisms.
- Date:
- Thursday, October 15, 2026
- Time:
- 10:00am - 12:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Zoom Session -Medical (online only_1)
- Campus:
- Medical School
- Categories:
- Bioinformatics
