Sort by
Refine Your Search
-
dynamics of Salmonella within pasture-based poultry production systems by integrating phenotypic characterization, whole-genome sequencing, and transcriptomic profiling. By advancing the understanding
-
, and marker development. Experiences to analyze high through put data sets including short- and long-read genomic and transcriptomic data, and develop or apply related software for data mining. Familiar
-
, reducing agricultural productivity, grain quality, and food and feed safety. The research will integrate genome sequences, genetic variation, transcriptomic profiles, functional annotations, protein
-
of diverse PRRSV strains causing extreme pathogenesis and disease. Transcriptomics datasets have been generated via bulk and single-cell RNA sequencing from blood and disease-affected tissues and will be
-
) utilize genomic and transcriptomic data to build comprehensive knowledge bases on the genetic factors influencing bacterial colonization and bacterial disease outcomes such as pneumonia, septicemia
-
to beet curly top virus, Rhizomania disease, and early seedling freezing stress. Develop skills in genomic, transcriptomic, proteomic, and metabolomic techniques to characterize cultivated and wild
-
transcriptomic and metabolomic approaches are used to investigate plant defense responses and support wheat breeding strategies aimed at improving disease resistance and maintaining grain nutritional quality
-
related to root system performance and function. Learn about transcriptomics, qPCR, sequencing, and related laboratory techniques by assisting in genomic and molecular research activities connecting