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  • 1
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    Singapore : Springer
    Keywords: Bioinformatics ; Medicine ; Statistics ; Bioinformatics ; Biomedicine general ; Statistics for Life Sciences, Medicine, Health Sciences ; Springer eBooks
    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. 645 illus., 236 illus. in color. : online resource.
    ISBN: 9789811319426
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  • 2
    Keywords: Toxicology ; Biochemistry ; Science / Study and teaching ; Biotechnology ; Oncology ; Medicine ; Pharmacology/Toxicology ; Plant Biochemistry ; Science Education ; Biotechnology ; Cancer Research ; Molecular Medicine ; Springer eBooks
    Description / Table of Contents: Introduction: Plant secondary metabolites and their general function in plants -- Historical and current perspective -- Medicinal use -- Recreational use -- General overview over biosynthesis pathways of plant secondary metabolites -- Drugs affecting GPCR: GPCRs in plants and animals -- Dopamine and 5-HT2A-serotonin receptors – Cocaine, mescaline, psilobin -- Opiate receptors – morphine, salvinorin A -- Cannabinoid receptors – THC -- Muscarinergic acetylcholin receptor - muscarin, atropine -- Adenosine receptor – caffeine -- Drugs affecting ion channels: Ligand and voltage activated channels -- Nicotinic acetylcholin receptor – Nicotine, Curare -- GABAA/C-receptor – Muscimol, thujone -- ionotropic Glycine receptor – Strychnine -- ionotropic Glutamate receptor - ibogtenic acid, kainic acid -- TRP channels – capsaicin, menthol, aconitine, resiniferatoxin -- Anti-cancer drugs acting on the cell cycle: Cell cycle in animals and plants -- Microtubuli - Colchicine, taxol, vinblastine, Podophyllotoxin (Lignan) -- Topoisomerase - camptothecin, etoposide -- G2/M phase arrest, apoptosis – curcubitacin, triptolide
    Abstract: This textbook provides a structured, easy to understand and thorough insight into the mode of function of plant secondary metabolites in plants and humans. It explains the biosynthesis and molecular action of nicotine, cannabis, caffeine and Co, describes the effects of these drugs on signal transduction at receptors and ion channels in animals, their relevance for human health and their potential for recreational use and abuse. It also offers a broad and comprehensive understanding on the role and function of these diverse molecules for the plants that make them. This textbook is written for master students and scientist in biochemistry and biology as well as for pharmaceutical and medical students. It will be a valuable study tool for teachers and students alike
    Pages: X, 217 p. 69 illus., 50 illus. in color. : online resource.
    ISBN: 9783319995465
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  • 3
    Keywords: Human Physiology ; Cardiovascular System ; Immunology ; Developmental Biology ; Biomedical Engineering ; Human Physiology ; Cardiovascular Biology ; Immunology ; Developmental Biology ; Biomedical Engineering/Biotechnology ; Springer eBooks
    Description / Table of Contents: 1. Morphological and Functional Characteristics of Blood and Lymphatic Vessels -- 2. The Heart: The Engine in the Center of the Vascular System -- 3. Regulation of Tissue Perfusion and Exchange of Solutes, Macromolecules, and Water between Blood Vessels and the Interstitial Space -- 4. Endothelial Cells: Function and Dysfunction -- 5. Vascular Smooth muscle cells: Regulation of Vasoconstriction and Vasodilation -- 6. Embryonic Development of the Cardiovascular System -- 7. Cellular and Molecular Mechanisms of Vasculogenesis, Angiogenesis, and Lymphangiogenesis -- 8. Mechanisms of Hemostasis: Contribution of Platelets, Coagulation Factors, and the Vessel Wall -- 9. Biologically active lipids in Vascular Biology -- 10. Atherosclerosis -- 11. Venous Thromboembolism -- 12. Genetics of Vascular Diseases -- 13. Animal Models in Cardio-Vascular Biology -- 14. Endothelial Cell Isolation and Manipulation -- 15. In vitro Assays Used to Analyse Vascular Cell Functions -- 16. The Porcine Coronary Artery Ring Myograph System -- 17. Proteomics in Vascular Biology
    Abstract: This well-structured textbook offers essential knowledge on the vascular system. The reader will learn the properties, basic cellular mechanisms and development of the different parts of the vascular system (including the heart), gain knowledge on vascular and related diseases, and will be made familiar with common and most current methods and techniques applied to analyze the vascular system in patients, in animal models, and ex vivo. This book is based on a PhD Course for students from various bioscientific backgrounds given at the Medical University of Vienna, and it will be a valuable resource for Master´s Students in vascular biology and biomedicine in general and a helpful tool for young researchers world-wide wishing to gain or refresh their knowledge in this field
    Pages: XX, 392 p. 73 illus., 70 illus. in color. : online resource.
    ISBN: 9783030122706
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  • 4
    Keywords: Medicine ; Biology / Data processing ; Science / Study and teaching ; Bioinformatics ; Ability ; Biological models ; Molecular Medicine ; Computer Appl. in Life Sciences ; Science Education ; Computational Biology/Bioinformatics ; Skills ; Systems Biology ; Springer eBooks
    Description / Table of Contents: Introduction: What is Matlab and what can it be used for -- Overview of Interface -- Toolboxes -- The basics using the command line: Element by element versus matrix multiplication -- Multiplying and dividing arrays of data -- Example 1: Next generation matrix models -- Creating and using script files: Debugging scripts -- Using the live editor -- Accessing help -- Exploring Matlab’s in-built functions -- Creating graphs and plots: Example 1: Introduction to the image processing toolbox -- Example 2: Plotting ellipses, hyperbola and parabola (conic sections) -- Anonymous functions -- Creating separate function files: Example 1: solving a differential equation using ode45 using biological examples -- Importing and exporting data: Example 1: reading spreadsheets using the command line and an application of linear algebra to statistical analysis of qpcr data -- Matlab as a programming language: Introduction to using loops in your scripts -- For loops -- While loops -- Combining loops and conditional statements
    Abstract: This textbook takes you from the very first time you open MATLAB® through to a position where you can comfortably integrate this computer language into your research or studies. The book will familiarise you with the MATLAB interface, show you how to use the program´s built-in functions and carefully guide you towards creating your own functions and scripts so that you can use MATLAB as a sophisticated tool to support your own research. A central aim of this book is to provide you with the core knowledge and skills required to become a confident MATLAB user so that you can find and make use of the many specialist functions and toolboxes that have been developed to support a wide range of biological applications. Examples presented within the book are selected to be relevant to biological scientists and they illustrate some of the many ways the program can be incorporated into, and used to enhance, your own research and studies. The textbook is a must-have for students and researchers in the biological sciences. It will also appeal to readers of all backgrounds who are looking for an introduction to MATLAB which is suitable for those with little or no experience of programming
    Pages: XIII, 175 p. 30 illus., 27 illus. in color. : online resource.
    Edition: 1st ed. 2019.
    ISBN: 9783030213374
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  • 5
    Keywords: Medicine ; Biomedical Engineering ; Biotechnology ; Systems Biology ; Biomaterials ; Biomedicine ; Biomedical Engineering/Biotechnology ; Biomedical Engineering ; Systems Biology ; Biomaterials ; Biotechnology ; Springer eBooks
    Description / Table of Contents: Introduction -- The Minimal Cell -- Synthetic Proteins -- Biomimicry - Bottom-Up Approach -- The Tools -- Dealing with the Dangers
    Abstract: This textbook discusses the new relationship between artificial, synthetic material and living matter, and presents defined examples of approaches aiming for the creation of artificial cells. It also offers insights into the world of synthetic biology from its origins to the present day, showing what is currently possible in this discipline. Furthermore, it examines the ethical concerns and potential threats posed by this new field. The textbook is based on a lecture of the same title, held for master’s students at the University of Natural Resources and Life Sciences (BOKU), Vienna, and is primarily intended for students of synthetic biology, biotechnology and bioengineering. It is also of interest to research scientists from other disciplines wishing to learn more about the state of the art of synthetic biology and its future
    Pages: VI, 65 p. 51 illus. in color. : online resource.
    ISBN: 9783319731230
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  • 6
    Keywords: Medicine ; Biomedical Engineering ; Biotechnology ; Systems Biology ; Biomedicine ; Biomedical Engineering/Biotechnology ; Systems Biology ; Biotechnology ; Springer eBooks
    Description / Table of Contents: Chapter 1: Introduction -- Chapter 2: Modeling: choosing a kinetics -- Chapter 3: Modeling at computer: getting started -- Chapter 4: Stochastic modeling -- Chapter 5: Steady states -- Chapter 6: Stability analysis: hysteresis and oscillations -- Chapter7: Toggle switch: dynamics and steady states -- Chapter 8: Rule-based modeling -- Chapter 9: Gene circuit modular computational design -- Chapter 10: Parameter analysis -- Chapter 11: Circuit analysis with COPASI -- Chapter 12: Circuit motifs
    Abstract: The textbook is based on the lectures of the course “Synthetic Biology” for Master’s students in biology and biotechnology at the Harbin Institute of Technology. The goal of the textbook is to explain how to make mathematical models of synthetic gene circuits that will, later on, drive the circuit implementation in the lab. Concepts such as kinetics, circuit dynamics and equilibria, stochastic and deterministic simulations, parameter analysis and optimization are presented. At the end of the textbook, a chapter contains a description of structural motifs (e.g. positive and negative feedback loops, Boolean gates) that carry out specific functions and can be combined into larger networks. Moreover, several chapters show how to build up (an analyse, where possible) models for synthetic gene circuits with four different open-source software i.e. COPASI, XPPAUT, BioNetGeN, and Parts & Pools-ProMoT
    Pages: XII, 187 p. 91 illus., 74 illus. in color. : online resource.
    ISBN: 9789811087523
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  • 7
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    Cham : Springer International Publishing
    Keywords: Life sciences ; Biomedical Engineering ; Cardiac Surgery ; Regenerative Medicine ; Tissue Engineering ; Life sciences ; Regenerative Medicine/Tissue Engineering ; Biomedical Engineering/Biotechnology ; Biomedical Engineering ; Cardiac Surgery ; Springer eBooks
    Description / Table of Contents: Introduction to Organ Fabrication -- Sensors in Tissue and Organ Fabrication -- Genetic Engineering for The Heart -- Cell Therapy for The Heart -- Heart Muscle Tissue Engineering -- Biological Cardiac Assist Devices -- Bioengineered Bioartificial Ventricles
    Abstract: This book covers the fundamentals of tissue engineering for the heart, starting with the basics of organ generation, sensors in tissue and organ fabrication, and the current state-of-the-art in stem cell engineering for the heart. With this foundation in place, the remaining chapters focus on specific aspects of the cardiovascular system, starting with heart muscle, then biological pumps, followed by bioartificial ventricles, and finally, bioartificial hearts. Throughout the course of this book, twenty-two in-depth case studies are presented. Each case study has been selected to illustrate specific design schemes for tissue and organ fabrication. This is an ideal book for upper-level undergraduate and graduate students studying tissue engineering and organ regeneration, especially those focused on cardiac regeneration. This book also: Includes twenty-two case studies that illustrate specific design schemes for engineering the heart Provides open-ended discussion questions at the end of each chapter as well as a detailed reference list to encourage further research and reading Covers the basics of organ fabrication as well as sensor technology and genetic engineering as they relate to tissue and organ fabrication
    Pages: XXXII, 226 p. 97 illus. in color. : online resource.
    ISBN: 9783319415048
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  • 8
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    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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  • 9
    Keywords: Oncology ; Human Genetics ; Medicine ; Cytology ; Metabolism ; Cancer Research ; Human Genetics ; Molecular Medicine ; Cell Biology ; Metabolomics ; Springer eBooks
    Description / Table of Contents: Preface -- Molecular and Cell Biology of Cancer when cells break the rules and hijack their own planet -- Cancer as an Evolutionary Process -- Cell signaling in cancer -- The cell cycle, cytoskeleton and cancer -- Genomic Instability: DNA Repair and Cancer -- Cell metabolism in cancer – an energetic switch -- Cancer immunoediting and hijacking of the immune system -- Angiogenesis - vessels recruitment by tumor cells -- Tumor niche disruption and metastasis: the role of epithelial-mesenchymal transition (EMT) -- Case studies - Molecular Pathology perspective and impact on oncologic patients’ management -- Index
    Abstract: This textbook takes you on a journey to the basic concepts of cancer biology. It combines developmental, evolutionary and cell biology perspectives, to then wrap-up with an integrated clinical approach. The book starts with an introductory chapter, looking at cancer in a nut shell. The subsequent chapters are detailed and the idea of cancer as a mass of somatic cells undergoing a micro-evolutionary Darwinian process is explored. Further, the main Hanahan and Weinberg “Hallmarks of Cancer” are revisited. In most chapters, the fundamental experiments that led to key concepts, connecting basic biology and biomedicine are highlighted. In the book’s closing section all of these concepts are integrated in clinical studies, where molecular diagnosis as well as the various classical and modern therapeutic strategies are addressed. The book is written in an easy-to-read language, like a one-on-one conversation between the writer and the reader, without compromising the scientific accuracy. Therefore, this book is suited not only for advanced undergraduates and master students but also for patients or curious lay people looking for a further understanding of this shattering disease
    Pages: IX, 216 p. 71 illus. in color. : online resource.
    Edition: 1st ed. 2019.
    ISBN: 9783030118129
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  • 10
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    Cham : Springer International Publishing
    Keywords: Life sciences ; Molecular Biology ; Proteins ; Science Education ; Teaching ; Life sciences ; Protein Science ; Science Education ; Molecular Medicine ; Protein Structure ; Teaching and Teacher Education ; Protein-Ligand Interactions ; Springer eBooks
    Description / Table of Contents: Chapter 1. The Rationale Behind This Workbook -- Chapter 2. An Archive and a Tool: PDB and PyMOL -- Chapter 3. Exploring Fundamentals -- Chapter 4. Exploring the Peptide Bond -- Chapter 5. Exploring Secondary Structure Elements -- Chapter 6. Exploring Protein‐Ligand and Protein‐Protein Interactions -- Chapter 7. Examining α-Helical Proteins -- Chapter. 8. Investigating Proteins with β-Sheets -- Chapter 9. Moving from Former to Future Frontiers
    Abstract: This textbook introduces the basics of protein structure and logically explains how to use online software to explore the information in protein structure databases. Readers will find easily understandable, step-by step exercises and video-trainings to support them in grasping the fundamental concepts. After reading this book, readers will have the skills required to independently explore and analyze macromolecular structures, will be versed in extracting information from protein databases and will be able to visualize protein structures using specialized software and on-line algorithms. This book is written for advanced undergraduates and PhD students wishing to use information from structural biology in their assignments and research and will be a valuable source of information for all those interested in applied and theoretical aspects of structural biology
    Pages: X, 255 p. 96 illus., 94 illus. in color. : online resource.
    ISBN: 9783319768588
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