Full Description
Contemporary biomedical and clinical research is undergoing constant development thanks to the rapid advancement of various high throughput technologies at the DNA, RNA and protein levels. These technologies can generate vast amounts of raw data, making bioinformatics methodologies essential in their use for basic biomedical and clinical applications.Bioinformatics for biomedical science and clinical applications demonstrates what these cutting-edge technologies can do and examines how to design an appropriate study, including how to deal with data and address specific clinical questions. The first two chapters consider Bioinformatics and analysis of the human genome. The subsequent three chapters cover the introduction of Transcriptomics, Proteomics and Systems biomedical science. The remaining chapters move on to critical developments, clinical information and conclude with domain knowledge and adaptivity.
Contents
List of figures and tablesPrefaceAbout the authorChapter 1: IntroductionAbstract:1.1 Complex systems: From uncertainty to predictability1.2 Harnessing omics technology1.3 Bioinformatics: From theory to practice1.4 Take home messagesChapter 2: GenomicsAbstract:2.1 Introduction2.2 The human genome and variome2.3 Genomic platforms and platform level analysis2.4 Study designs and contrast level analysis of GWAS2.5 Adaptive exploration of interactions of multiple genes2.6 Somatic genomic alterations and cancer2.7 Case studies2.8 Take home messagesChapter 3: TranscriptomicsAbstract:3.1 Introduction3.2 Transcriptomic platforms at a glance3.3 Platform level analysis for transcriptomics3.4 Contrast level analysis and global visualization3.5 Module level analysis3.6 Systems level analysis for causal inference3.7 RNA secondary structure analysis3.8 Case studies3.9 Take home messagesChapter 4: ProteomicsAbstract:4.1 Introduction4.2 Proteomics platforms at a glance4.3 Protein identification by MS based proteomics4.4 From protein sequences to structures4.5 Protein interaction networks4.6 Case studies4.7 Take home messagesChapter 5: Systems biomedical scienceAbstract:5.1 Introduction5.2 Cell level technology and resources at a glance5.3 Conceptual frameworks from top-down5.4 Systems construction from bottom-up and top-down5.5 Specific directions of systems biomedical science5.6 Case studies5.7 Take home messagesChapter 6: Clinical developmentsAbstract:6.1 Fulfilling unmet medical needs6.2 Translational medicine6.3 Clinical product development6.4 Critical use of clinical information6.5 Case studies6.6 Take home messagesChapter 7: ConclusionsAbstract:7.1 Change and move forward7.2 Presentation, presentation, presentation7.3 Domain knowledge plus adaptivityIndex
