Hello Everybody,
Let's together explore how VEuPathDB integrates multi-omics data, advanced analytics, and AI-driven tools to accelerate infectious disease research, and learn about the innovative community-supported funding model designed to sustain this critical open resource!
On Wednesday, April 1st, 1PM ET, Omar Harb, Senior Project Manager & Director Scientific Outreach & Education(VEuPathDB.org) at the University of Pennsylvania, will present the talk titled: “VEuPathDB: A Comprehensive Informatics Resource for Eukaryotic Pathogen, Vector, and Host Biology”.
Zoom link and abstract below. We hope you will join us!
Marcela
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Wednesday, April 1st, 1PM ET
| 1P ET | 12P CT | 11A MT | 10A PT |
Find your local time here.
Meeting ID: 820 3835 6125
Passcode: 160683
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Speaker: Omar Harb (Director of Scientific Outreach & Education; Project Manager, VEuPathDB)
Title: VEuPathDB: A Comprehensive Informatics Resource for Eukaryotic Pathogen, Vector, and Host Biology
Abstract: VEuPathDB (the Eukaryotic Pathogen, Vector, and Host Informatics Resource) is an integrated bioinformatics platform that empowers researchers with comprehensive data, advanced analytical tools, and emerging artificial intelligence capabilities to accelerate discovery in infectious disease biology. The resource consolidates high-quality genomic, transcriptomic, proteomic, and functional data for eukaryotic pathogens, vectors, and relevant host systems, coupled with curated metadata and standardized ontologies. VEuPathDB’s suite of tools enables complex in-silico analyses, including comparative genomics, gene expression profiling, metabolic pathway exploration, and customizable data mining workflows. Recent enhancements leverage AI-driven methods for summarizing transcriptomic data, facilitating hypothesis generation and the interpretation of large-scale experimental results. Through an intuitive web-based interface and APIs, VEuPathDB supports reproducible science and community-driven annotation efforts. To remain open access and sustain its development, maintenance, and ongoing expansion of data and computational capabilities, VEuPathDB employs a voluntary subscription-based funding model. Under this approach, participating labs, institutions, and companies contribute annual subscription fees that support core infrastructure, curation activities, and user support services. The model balances broad access for the scientific community with stable funding streams, enabling strategic investments in AI integration and responsive tool enhancement. Subscription revenues complement competitive grant funding and are essential for long-term platform growth, ensuring that VEuPathDB continues to meet evolving research needs in pathogen, vector, and host informatics.