
معرفی
Stephen Mount is an Associate Professor at the University of Maryland, affiliated with the Department of Molecular & Cellular Biology. His research focuses on RNA processing mechanisms, particularly splicing regulation and bioinformatics applications in collaborative projects. Key interests include identifying sequence elements guiding splicing, evaluating genetic variants' effects on splicing, and improving RNA-seq analysis for alternative splicing patterns.
Education:
- B.A., Rice University, 1978
- Ph.D., Yale University, 1983
Research Interests:
- Splicing machinery interactions and signal recognition
- Impact of genetic variation on splicing
- Development of computational tools for transcriptome analysis
- Plant genomics and fruit development
Teaching: Courses include Molecular Genetics (BSCI410), Human Genetics (BSCI416), and graduate-level programs in Computational Biology and Molecular Cellular Biology.
Articles Trends: Recent work emphasizes computational methods for variant impact prediction (e.g., CAGI6), RNA splicing visualization (spliceosome dynamics), and single-cell epigenetic profiling in cancer. Collaborative projects span plant genomics, immune response mechanisms, and tumor progression modeling.
Labs/Teams: The Mount Lab collaborates widely, focusing on bioinformatics-driven splicing research and plant transcriptome databases like ROFT for fruit comparisons.
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