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  • 1
    Singapore : Springer
    Call number: QH324:49
    Keywords: Bioinformatics ; Medicine ; Statistics ; Biomedicine general ; Statistics for Life Sciences, Medicine, Health Sciences
    Description / Table of Contents: Part 1. BIOINFORMATICS FOR LIFE AND PERSONAL GENOME INTERPRETATION -- Chapter 1. Bioinformatics For Life -- Chapter 2. Next Generation Sequencing and Personal Genome Data Analysis -- Chapter 3. Personal Genome Data Analysis -- Chapter 4. Personal Genome Interpretation and Disease Risk Prediction -- Part 2. ADVANCED MICROARRAY DATA ANALYSIS -- Chapter 5. Advanced Microarray Data Analysis -- Chapter 6. Gene Expression Data Analysis -- Chapter 7. Gene Ontology and Biological Pathway-based Analysis -- Chapter 8. Gene-set Approaches and Prognostic Subgroup Prediction -- Chapter 9. MicroRNA Data Analysis -- Part 3. NETWORK BIOLOGY, SEQUENCE, PATHWAY AND ONTOLOGY INFORMATICS -- Chapter 10. Network Biology, Sequence, Pathway and Ontology Informatics -- Chapter 11. Motif and Regulatory Sequence Analysis -- Chapter 12. Molecular Pathways and Gene Ontology -- Chapter 13. Biological Network Analysis -- Part 4. SNPS, GWAS AND CNVS, INFORMATICS FOR GENOME VARIANTS -- Chapter 14. SNPs, GWAS, CNVs: Informatics for Human Genome Variations -- Chapter 15. SNP Data Analysis -- Chapter 16. GWAS Data Analysis -- Chapter 17. CNV Data Analysis -- Part 5. METAGENOME AND EPIGENOME, BASIC DATA ANALYSIS -- Chapter 18. Metagenome and Epigenome Data Analysis -- Chapter 19. Metagenome Data Analysis -- Chapter 20. Epigenome Databases and Tools -- Chapter 21. Epigenome Data Analysis -- Appendix A. BASIC PRACTICE USING R FOR DATA ANALYSIS -- Appendix B. APPLICATION PROGRAM FOR GENOME DATA ANALYSIS INSTALL GUIDE
    Abstract: This textbook describes recent advances in genomics and bioinformatics and provides numerous examples of genome data analysis that illustrate its relevance to real world problems and will improve the reader’s bioinformatics skills. Basic data preprocessing with normalization and filtering, primary pattern analysis, and machine learning algorithms using R and Python are demonstrated for gene-expression microarrays, genotyping microarrays, next-generation sequencing data, epigenomic data, and biological network and semantic analyses. In addition, detailed attention is devoted to integrative genomic data analysis, including multivariate data projection, gene-metabolic pathway mapping, automated biomolecular annotation, text mining of factual and literature databases, and integrated management of biomolecular databases. This textbook is primarily intended for life scientists, medical scientists, statisticians, data processing researchers, engineers, and other beginners in bioinformatics who are experiencing difficulty in approaching the field. However, it will also serve as a simple guideline for experts unfamiliar with the new, developing subfield of genomic analysis within bioinformatics
    Pages: xvi, 367 p. : ill.
    ISBN: 9789811319419
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    QH324:49 on loan
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  • 2
    Berlint : Springer
    Keywords: Biochemistry ; Microscopy ; Bioinformatics ; Engineering ; Biochemistry, general ; Biological and Medical Physics, Biophysics ; Protein Science ; Biological Microscopy ; Bioinformatics ; Nanotechnology and Microengineering ; Springer Nature Living Reference
    Description / Table of Contents: Proteins -- DNA and RNA -- Carbohydrates -- Macromolecular complexes, Mechanoenzymes -- Membrane biophysics -- Electron transfer -- Ion Channels -- Receptors -- Transporters -- Biomaterials & Biosensors -- Diffraction methods -- NMR -- EPR -- Optical spectroscopy -- X-ray spectroscopy -- Single molecule methods -- Computational Biophysics -- Thermodynamics -- Kinetics -- Mass spectrometry -- Molecular shape & hydrodynamics -- Electron microscopy -- Live cell & in vivo imaging -- Cell biophysics
    Abstract: The Encyclopedia of Biophysics is envisioned both as an easily accessible source of information and as a route into the scientific literature. It consists of two parts, Systems and Techniques. In the Techniques sections, each of the wide range of methods which fall under the heading of Biophysics are explained in detail, together with the value and the limitations of the information each provides. Techniques covered range from diffraction (X-ray, electron and neutron), through a wide range of spectroscopic methods (X-ray, optical, EPR, NMR) to imaging (from electron microscopy to live cell imaging and MRI), as well as computational and simulation approaches. In the Systems sections, biophysical approaches to particular biological systems or problems – from protein and nucleic acid structure to membranes, ion channels and receptors – are described. These sections, which have an emphasis on the integration of the different techniques, therefore provide an entry into Biophysics from the biological more than from the technique-oriented physical/chemical direction. Thus the Encyclopedia is intended to provide a resource both for biophysicists interested in approaches outside their immediate sub-discipline and for people coming to biophysics from either the physical or biological direction. Each of the sections will include concise introductions to the major concepts and methods, and outlines of more specific topics, in each case with links to a limited number of carefully selected key reviews and/or papers in the scientific literature. There will also be short definitions explaining key terms. Extensive cross-referencing (hyperlinks in the online version) between different articles will allow access to related topics in a user-friendly manner and time-efficient manner, including hyperlinks to key articles in the scientific literature
    Pages: CDXXV, 2807 p. : online resource.
    ISBN: 9783642359439
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  • 3
    Keywords: Oncology ; Pharmaceutical technology ; Bioinformatics ; Immunology ; Nanotechnology ; Cancer Research ; Pharmaceutical Sciences/Technology ; Bioinformatics ; Immunology ; Nanotechnology ; Springer eBooks
    Abstract: This book illustrates the importance of the Natural Biometabolites, which offer a rich reservoir of candidate compounds for drug discovery in the battle against cancer. Recent research and development efforts concerning anti-cancer drugs derived from natural products have led to the identification of numerous candidate molecules that inhibit cancer cell proliferation and metastasis using a variety of mechanisms. Given its scope, the book offers a valuable resource for cancer biologists and general oncologists alike, while also benefitting research professionals in Science, Nursing, Medicine, Biochemistry, Genetics and Bioscience who wish to understand the fundamentals of prognosis and prediction in tumorigenesis. Moreover, the book provides an essential platform for understanding drug resistance mechanisms and combatting the growing menace of multidrug resistance
    Pages: IX, 218 p. 115 illus., 28 illus. in color. : online resource.
    Edition: 1st ed. 2019.
    ISBN: 9789811376078
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