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sequencing data and other epigenomics data available for these cell lines to develop benchmarks for methylation of DNA or other epigenetics technologies. This postdoc could also work with the transcriptomics
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capable of interpreting this information and integrating data from other “-omic” platforms such as genomics, transcriptomics, and proteomics. Leveraging artificial neural networks is the linchpin
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. Metagenomics is able to evaluate the presence of different taxa or specific genes while transcriptomics is able to define levels of gene expression, but proteomics seeks to identify and measure the translated
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to profile the microbial communities based on metagenomics and transcriptomics approaches. The comprehensive profiling methodologies will provide the foundation for the development of reference materials
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to profile the microbial communities based on metagenomics and transcriptomics approaches. The comprehensive profiling methodologies will provide the foundation for the development of reference materials
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applications become possible including transcriptomic and proteomic analysis. This project aims to develop and disseminate technological resources for non-model organisms. Specifically this includes