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fidelity is experimentally challenging and we are using specially-developed methods for library prep for high-throughput sequencing to achieve this. The research involves next-generation sequence library
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experimentally challenging and we are using specially-developed methods for library prep for high-throughput sequencing to achieve this. The research involves next-generation sequence library preparation in
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clonal fate-mapping, flow cytometry, and various in vitro and in vivo stem cell assays. The projects that the new postdoc will primarily be involved in, will apply the same type of DNA sequencing analysis
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apply the same type of DNA sequencing analysis as in a recent publication in which we retrospectively (through phylogenetic analysis) lineage-fate mapped human HSCs (7). Projects will be pursued in part
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-function relationship relevant to diverse food applications. The phenotypic data obtained will be aligned with genotypic data (e.g., Genotyping-by-Sequencing, etc.) to identify genomic regions and candidate
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related to grain protein quality, aroma profiles, and protein structure-function relationship relevant to diverse food applications. The phenotypic data obtained will be aligned with genotypic data (e.g
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of 3D genome and epigenomic landscape orchestrates gene expression programs that underlie neuron-to-glioma communication. In this project, we will use single-cell sequencing methods, bioinformatics, and
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repertoire sequencing to examine vaccine-induced antibody and B cell responses in rituximab-treated multiple sclerosis patients across three doses of the BNT162b2 mRNA vaccine. The goal is to identify key
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will use single-cell sequencing methods, bioinformatics, and genome editing approaches, as well as co-culture systems modeling neuron–glioma interactions, with the main focus on investigating the impact
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higher education teaching and learning. Detailed description of the work duties, such as: Method development in AI-driven protein design Production of designed sequences targeted for experimental testing