Clinical Genomics

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· Academic Press
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Clinical Genomics provides an overview of the various next-generation sequencing (NGS) technologies that are currently used in clinical diagnostic laboratories. It presents key bioinformatic challenges and the solutions that must be addressed by clinical genomicists and genomic pathologists, such as specific pipelines for identification of the full range of variants that are clinically important. This book is also focused on the challenges of diagnostic interpretation of NGS results in a clinical setting. Its final sections are devoted to the emerging regulatory issues that will govern clinical use of NGS, and reimbursement paradigms that will affect the way in which laboratory professionals get paid for the testing. - Simplifies complexities of NGS technologies for rapid education of clinical genomicists and genomic pathologists towards genomic medicine paradigm - Tried and tested practice-based analysis for precision diagnosis and treatment plans - Specific pipelines and meta-analysis for full range of clinically important variants

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Dr. Shashikant Kulkarni is the Head of Clinical Genomics, Genomics and Pathology Services and also the Director of Cytogenomics and Molecular Pathology at Washington University School of Medicine. In addition, he is Associate Professor of Pathology and Immunology, Pediatrics, and Genetics. His lab's principle research interest is delineation of novel genomic structural and single nucleotide variants in cancer.

Dr. Somak Roy is an Assistant Professor, in the division of Molecular and Genomic Pathology, at the University of Pittsburgh Medical Center, in Pittsburgh, PA. He is also Director of Molecular Informatics and the Director of the MGP Fellowship Program, and Associate Laboratory Director of the Division of Molecular and Genomic Pathology. Dr. Roy's research is focused on understanding mechanisms of urothelial carcinogenesis and metastasis using next generation sequencing and microarray technologies. He also develops biomedical informatics solutions for optimizing clinical laboratory operations and quality management.

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