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Updated: Jun 25, 2025

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms
Published on: May 9, 2017
VEuPathDB Resources: A Platform for Free Online Data Exploration, Integration, and Analysis
Omar S Harb1, Mary Ann McDowell2, David S Roos3
1University of Pennsylvania, Philadelphia, PA, USA. oharb@sas.upenn.edu.
VEuPathDB.org offers free access to omic data for eukaryotic pathogens, vectors, and host responses. This resource enhances data accessibility, findability, and reusability for researchers studying infectious diseases.
Area of Science:
- Bioinformatics
- Genomics
- Infectious Disease Research
Background:
- Eukaryotic protozoan and fungal pathogens, and arthropod vectors pose significant global health challenges.
- Understanding host responses to infection is crucial for developing effective countermeasures.
Purpose of the Study:
- To provide a centralized, publicly accessible platform for omic data related to eukaryotic pathogens, vectors, and host-pathogen interactions.
- To enhance the accessibility, findability, and reusability of diverse biological datasets for the research community.
Main Methods:
- Integration of comprehensive omic datasets including genomic, transcriptomic, proteomic, and epigenomic data.
- Standardization of data analysis workflows to ensure accuracy and interoperability.
- Development of specialized search tools and a graphical strategy system for in silico experimentation.
Main Results:
- VEuPathDB.org hosts a vast repository of curated omic data from relevant organisms.
- Standardized analyses provide supplementary data, including protein domains, pathway information, and comparative genomics.
- Comparative genomic tools facilitate ortholog identification, phyletic pattern analysis, and synteny visualization.
Conclusions:
- VEuPathDB.org empowers researchers by providing easy access to integrated omic data and advanced analytical tools.
- The platform supports in silico experiments, accelerating discovery in eukaryotic pathogen and vector research.
- Facilitating data reusability promotes collaborative research and advances understanding of host-pathogen dynamics.
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