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scientists and communicate findings through manuscripts and newsletters. Learning Objectives: The candidate will have an opportunity to gain experience in plant genetic analysis, pipeline development, trait
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about: NGS library construction for genome and transcriptome sequencing. Marker-trait association analysis to identify genetic variations associated with important traits such as disease resistance and
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with digital PCR, multiplex PCR, and microbial community analysis required. Participant will also learn about statistical analysis of data in consultation with ARS colleagues. Participant will be a part
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: Conducting phenotype trials related to maize breeding and genetics. Marker-trait association analysis and RNA-Seq analysis to identify genetic variations associated with desirable traits Preparation of data
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characterization Knowledge of instruments including nuclear magnetic resonance, Fourier-Transform infrared, mass spectrometry, dynamic mechanical analyzer, thermogravimetric analysis, differential scanning
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Project: Under the guidance of a mentor, the participant will conduct research on targeted and non-targeted analysis of per- and polyfluoroalkyl substances (PFAS) in food and food contact materials
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molecular and -omic methods. Learn advanced statistical and bioinformatic analysis of bulk and single cell transcriptomic data. Develop methods to link food nutrition environment with health outcomes. Learn
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routinely collaborates with other U.S. Government agencies, allied nations, and academic research institutions. Our work directly impacts the DoD and MHS by: Providing real-time analysis, at the genomic scale
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, geospatial modeling, and statistical analysis to characterize land use trends related to the northeast agricultural industry and identify impacts and opportunities of agricultural land use transitions
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digestive diseases, primarily acidosis and ketosis. Under the guidance of a mentor, the participant will perform RNA extraction, quality control, RNA sequencing library preparation and data analysis. Learning