http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Bioinformatics for biomedical science and clinical applications
1 online resource (1 volume) : illustrations
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 questio.
Cover; Bioinformatics for biomedical science and clinical applications; Copyright; Contents; List of figures and tables; Preface; About the author; 1. Introduction; 1.1 Complex systems: From uncertainty to predictability; 1.2 Harnessing omics technology; 1.3 Bioinformatics: From theory to practice; 1.4 Take home messages; 1.5 References; 2. Genomics; 2.1 Introduction; 2.2 The human genome and variome; 2.3 Genomic platforms and platform level analysis; 2.4 Study designs and contrast level analysis of GWAS; 2.5 Adaptive exploration of interactions of multiple genes.
2.6 Somatic genomic alterations and cancer2.7 Case studies; 2.8 Take home messages; 2.9 References; 3. Transcriptomics; 3.1 Introduction; 3.2 Transcriptomic platforms at a glance; 3.3 Platform level analysis for transcriptomics; 3.4 Contrast level analysis and global visualization; 3.5 Module level analysis; 3.6 Systems level analysis for causal inference; 3.7 RNA secondary structure analysis; 3.8 Case studies; 3.9 Take home messages; 3.10 References; 4. Proteomics; 4.1 Introduction; 4.2 Proteomics platforms at a glance; 4.3 Protein identifi cation by MS based proteomics.
4.4 From protein sequences to structures4.5 Protein interaction networks; 4.6 Case studies; 4.7 Take home messages; 4.8 References; 5. Systems biomedical science; 5.1 Introduction; 5.2 Cell level technology and resources at a glance; 5.3 Conceptual frameworks from topdown; 5.4 Systems construction from bottomup and topdown; 5.5 Specifi c directions of systems biomedical science; 5.6 Case studies; 5.7 Take home messages; 5.8 References; 6. Clinical developments; 6.1 Fulfi lling unmet medical needs; 6.2 Translational medicine; 6.3 Clinical product development.
6.4 Critical use of clinical information6.5 Case studies; 6.6 Take home messages; 6.7 References; 7. Conclusions; 7.1 Change and move forward; 7.2 Presentation, presentation, presentation; 7.3 Domain knowledge plus adaptivity; Index.
Includes bibliographical references and index.
Woodhead Publishing series in biomedicine ; no. 20