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Consortium. We use long-read sequencing and de novo genome assembly to construct personalized pangenomes for cancer samples, detecting somatic structural variation that reference-based methods miss. We also
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), Blood Cancer Journal (2022), Cell Stem Cell (2018). The Li research program is supported by multiple NIH (R01s), American Cancer Society, The Alex’s Lemonade Stand Foundation and several other prestigious
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statistical methods to analyze large-scale genomic datasets, including bulk RNA-seq, single-cell RNA-seq, DNA sequencing, epigenomic profiling, and related multi-omics assays. Design, implement, optimize, and
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: · Perform collaborative research with multiple faculty members at ARDMRI on projects involving genomics data analysis using single cell RNA-seq, CHIP-seq/ATAC-seq, spatial transcriptomics, HiC/HiCHIP, RIBO
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patients with blood cancer, such as Multiple Myeloma. Our laboratory is part of the Judy & Bernard Briskin Center for Multiple Myeloma Research. We collaborate closely with clinicians who treat patients and
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treatment planning, treatment delivery and assessment of treatment outcomes. As a successful candidate, you will: Develop MR pulse sequences and perform image reconstruction. Conduct medical imaging post
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cell transplantation models, mouse genetics, molecular biology, biochemistry and cell biology, chemical biology, immunology, functional genomics, signal transduction, single-cell sequencing, spatial
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innovative high-throughput sequencing technologies, bioinformatics approaches, and multi-scale models to elucidate RNA-mediated endothelial biology in the context of diabetes. Dr. Chen is passionate about
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and progression, using a combination of mouse models, patient-derived samples, and high-throughput technologies, including next-generation sequencing, flow cytometry, and immunohistochemistry
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. Strong fundamentals in cancer biology and statistics are essential. Demonstrated proficiency in multiple programming languages such as Python/R, with experience in computational analysis of omics datasets