This title includes a number of Open Access chapters. This book serves as an introduction to genomics, proteomics, and transcriptomics, putting these fields in relation to human disease and ailments. The various chapters consider the role of translation and personalized medicine, as well as pathogen detection, evolution, and infection, in relation to genomics, proteomics, and transcriptomics. The topic of companion diagnostics is also covered.
This title includes a number of Open Access chapters. This book serves as an introduction to genomics, proteomics, and transcriptomics, putting these fields in relation to human disease and ailments. The various chapters consider the role of translation and personalized medicine, as well as pathogen detection, evolution, and infection, in relation to genomics, proteomics, and transcriptomics. The topic of companion diagnostics is also covered.
Dr. Yu Liu is a bioinformatician with special interest in next-gen sequencing and its applications. His specialties are molecular biology, DNA sequence analysis, next-gen sequencing application on gene expression analysis and comparative genomics, and microarray gene expression analysis. He is the director of the Bioinformatics Resource Center at the University of Wisconsin-Madison. He has a master's degree in computer science from the University of Wisconsin-Madison; a master's degree in developmental biology from the Chinese Academy of Science; and PhD in molecular biology from The Ohio State University.
Inhaltsangabe
Introduction. Part 1: Omics and Human Disease. Comparative Mitochondrial Proteomics: Perspective in Human Diseases. Studies of Complex Biological Systems with Applications to Molecular Medicine: The Need to Integrate Transcriptomic and Proteomic Approaches. Next Generation Sequencing in Cancer Research and Clinical Application. Scientific Challenges and Implementation Barriers to Translation of Pharmacogenomics in Clinical Practice. Part 2: Translational and Personalized Medicine. Clinical Proteomics and Omics Clues Useful in Translational Medicine Research. Genomes2Drugs: Identifies Target Proteins and Lead Drugs from Proteome Data . Part 3: Molecular and Genetic Markers. Pitfalls and Limitations in Translation from Biomarker Discovery to Clinical Utility in Predictive and Personalised Medicine. How Bioinformatics Influences Health Informatics: Usage of Biomolecular Sequences, Expression Profiles and Automated Microscopic Image Analyses for Clinical Needs and Public Health. Application of "Omics" to Prion Biomarker Discovery. Part 4: Omics and Pathogens. Insights from Genomics into Bacterial Pathogen Populations. High Throughput Sequencing and Proteomics to Identify Immunogenic Proteins of a New Pathogen: The Dirty Genome Approach. Coronavirus Genomics and Bioinformatics Analysis. Part 5: Companion Diagnostics. Applications of Next-Generation Sequencing Technologies to Diagnostic Virology. Mass Spectrometry-Based Proteomics in Molecular Diagnostics: Discovery of Cancer Biomarkers Using Tissue Culture. Index.
Introduction. Part 1: Omics and Human Disease. Comparative Mitochondrial Proteomics: Perspective in Human Diseases. Studies of Complex Biological Systems with Applications to Molecular Medicine: The Need to Integrate Transcriptomic and Proteomic Approaches. Next Generation Sequencing in Cancer Research and Clinical Application. Scientific Challenges and Implementation Barriers to Translation of Pharmacogenomics in Clinical Practice. Part 2: Translational and Personalized Medicine. Clinical Proteomics and Omics Clues Useful in Translational Medicine Research. Genomes2Drugs: Identifies Target Proteins and Lead Drugs from Proteome Data . Part 3: Molecular and Genetic Markers. Pitfalls and Limitations in Translation from Biomarker Discovery to Clinical Utility in Predictive and Personalised Medicine. How Bioinformatics Influences Health Informatics: Usage of Biomolecular Sequences, Expression Profiles and Automated Microscopic Image Analyses for Clinical Needs and Public Health. Application of "Omics" to Prion Biomarker Discovery. Part 4: Omics and Pathogens. Insights from Genomics into Bacterial Pathogen Populations. High Throughput Sequencing and Proteomics to Identify Immunogenic Proteins of a New Pathogen: The Dirty Genome Approach. Coronavirus Genomics and Bioinformatics Analysis. Part 5: Companion Diagnostics. Applications of Next-Generation Sequencing Technologies to Diagnostic Virology. Mass Spectrometry-Based Proteomics in Molecular Diagnostics: Discovery of Cancer Biomarkers Using Tissue Culture. Index.
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