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The Ag Data Commons is migrating to a new institutional portal on Figshare. The current system is available for search and download only. The new platform is open for submission with assistance from Ag Data Commons curators. Please contact NAL-ADC-Curator@usda.gov, if you need to publish or update your datasets.

Veterinary Pest Genomics Center Overview

The Veterinary Pest Genomics Center (VPGC) is an initiative within the US Department of Agriculture's Agricultural Research Service (ARS). The vision for this initiative is to leverage big data solutions to evaluate risk from, and develop mitigations for invasive and other economically important veterinary pests. The introduction of invasive veterinary pests is accelerated by global change, including anomalies related to climate variability. An important aspect of this effort is to foster an innovation ecosystem involving the network of laboratories directly linked to ARS National Program 104 (Veterinary, Medical, and Urban Entomology), and related locations, in a way that allows ARS to leverage its scientific talent and other research assets.

VPGC's mission is to:

  1. Utilize key biological resources, next generation sequencing technology, and state-of-the-art bioinformatics approaches to sequence and annotate the genomes, transcriptomes, proteomes and metagenomes of important and emerging arthropod pests of veterinary importance
  2. Develop and use molecular tools for population genomics studies of veterinary pests in their indigenous and invasive ranges to understand the role of different evolutionary forces in shaping phenotypic variation of high-consequence to agriculture
  3. Apply biogeographic, spatial, and temporal analyses to quantify and predict economically important or potential veterinary pest distributional changes, and integrate these analyses with genetic studies of rapid evolution and adaptation of pests to new or changing environments
  4. Conduct feasibility studies to evaluate advanced computing hardware and software systems for their ability to store and analyze large data sets on veterinary pests, and the capacity to integrate results from longitudinal
    environmental assessments

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VPGC Datasets

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