ARS Researchers: Want your research featured on the SCINet website and newsletter?
Research highlights from researchers who use SCINet resources are added quarterly. Contact ARS-SCINet-Office@USDA.GOV for more information.
User Stories
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CameraTrapDetectoR: Detecting, Classifying and Counting Animals in Camera Trap Images
The use of camera traps is a popular and cost-effective way to monitor animal populations, evaluate animal behavior, and study ecological processes influencing populations. However, a camera trap dataset for a single site or research question can result in millions of images that require classification to be useful for analysis.
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Cattle Genome, Pangenome, Annotation, and FarmGTEx
FarmGTEx Consortium aims to create a comprehensive public resource for studying tissue-specific gene expression and regulation in major livestock species, including cattle, pigs, sheep, goats, and chickens.
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A Machine Learning Tool to Collapse Diet or Microbiome Data Using Taxonomic Structure
Researchers at the USDA-ARS Western Human Nutrition Research Center (WHNRC) are leveraging machine learning to uncover the molecular underpinnings of diet’s association with health.
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Modeling the Spread of a Livestock Disease With Semi-Supervised Spatiotemporal Deep Neural Networks
Dr. Michael Alcorn has been researching the potential for using spatiotemporal deep neural networks (STNNs) to model vesicular stomatitis risk through both space and time.
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Use of UAS Imagery to Detect Prairie Dog Burrows, Map Burrow Density, and Estimate Colony Acreage
Dr. Kearney is using unmanned aerial system (UAS) imagery to detect individual prairie dog burrows, map burrow density and, ultimately, estimate colony acreage within managed rangelands.
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Exploring Methods for Developing 3D Maps of Soil Organic Carbon
Scientists at the Cropping Systems and Water Quality Research Unit in Columbia, Missouri have extensive experience estimating soil biological, physical, and chemical properties using proximal soil sensors.
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Using SCINet HPC Resources to Develop Efficient UAS Imagery Analysis Workflows for Rangeland Management
Dr. Clark is developing and evaluating UAS imagery collection and analysis workflows with an eye towards augmenting or replacing field biomass measurements on spatially-extensive rangelands.
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Guidemaker: software for CRISPR based gene function discovery
CRISPR-Cas is a powerful tool for gene editing. CRISPR can also be used to discover gene function by disrupting every gene in the genome and screening millions of cells in parallel.
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SCINet accelerates development of a big-data driven and inter-disciplinary technology platform for soybean post-genomic research
Soybean (Glycine max (L.) Merr.) is a versatile, nutrients-laden, economically invaluable crop with capacity to restore soil fertility through atmospheric nitrogen fixation. It holds great significance in ensuring adequate global nutritional food security and environmentally friendly sustainable agriculture.
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Putting flowers on the map: Quantifying spatio-temporal patterns in floral resources for pollinators
Flowers provide critical nectar and pollen resources to support foraging, learning and memory, and reproduction of pollinating insects, but there are very few large-scale maps of floral resources for pollinators.
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Climate driving change: from dryland agro-ecosystems across the globe to the spread of a livestock disease across the western US
Rising global temperatures have cascading effects on Earth’s agro-ecosystems. To better understand and contextualize these effects,
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Faster, Better Metagenome Analysis: One genome, one contig for metagenome samples sequenced with PacBio HiFi reads
All plant and animal species must interact with microbes to survive and thrive.
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SCINet resources for creating livestock reference genomes
As a scientist in USDA-ARS’s Animal Genomics and Improvement Lab, one of our missions is to generate scientific resources used to improve our ability to raise cattle, sheep and goats to their fullest potential...
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Selecting Robust Climate Change Projections for Agricultural Systems
Scientists of many disciplines, including agricultural fields, often use climate change projections in their research
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Generating whole-genome data from a single insect: PacBio HiFi genome assembly and HiC scaffolding pipelines for reference quality genomes using SCINet
The damage that insect pests cost to human health and agriculture is enormous. For instance, invasive insects cost ...
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Spatial Disease Modelling on the Ceres HPC
A fundamental need to meet USDA ARS’s Grand Challenge initiative is to improve agricultural production while reducing the impact of the emerging pests, pathogens, and invasive species that threaten US livestock.
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The SCINet-LTAR phenology working group: Improving the accuracy of agriculturally-relevant models to meet growing and changing food demand
Meeting growing and changing demands for food and agricultural products requires models and forecasts that accurately characterize hydrology-soil-climate interactions...
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The ARS Arthropod Genomics Research (AGR) working group: Agency-wide advancement in research capabilities to address stakeholder concerns
Arthropod pests cause damage to crop, livestock and forestry products, as well as ornamental plants and urban structures, that inflicts an economic cost of several billion dollars annually...
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Antigenic and genetic evolution of contemporary swine H1 influenza viruses in the US
Influenza A viruses (IAV) that circulate in North American pigs maintain a high degree of diversity determined by the hemagglutinin (HA) gene, especially those of the H1 subtype.