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Dr. Morgan’s research is motivated by a desire to enable others to effectively understand and employ modern high-throughput genomic data in cancer and other biological domains. Such data necessarily requires advanced statistical analysis implemented in an appropriate computation environment. Dr. Morgan’s efforts focus on enabling development and dissemination of appropriate software, especially for use in research environments requiring leading edge, reproducible analysis.
Data available in research labs increasingly involves multiple different types of data (e.g., RNA expression profiles, DNA variants, regulation of gene expression, proteomics). An important area of research involves specification and development of software approaches to integration of these diverse data types into manageable statistical summaries, paying special attention to the need for robust, reproducible work flows.
Data available in research labs increasingly involves multiple different types of data (e.g., RNA expression profiles, DNA variants, regulation of gene expression, proteomics). An important area of research involves specification and development of software approaches to integration of these diverse data types into manageable statistical summaries, paying special attention to the need for robust, reproducible work flows.
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