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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.

Methods in Molecular Biology (Clifton, N.J.)
|May 31, 2024
PubMed
Summary

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.

Keywords:
BioinformaticsDatabaseFungiGenomicsProtozoaVectors

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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.