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Bioinformatics Books

Book Title: Biological Database Modeling
Editors: Jake Chen and Amandeep S. Sidhu
Content Formats: Print Book
Regular Price: $115 / £64
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Book Abstract:

Master the next-generation of database modeling techniques with this cutting-edge resource and take your biodata management skills to the next level. The book shows you how to take a global approach to representing complex biological concepts and their evolving data structures. This highly accessible volume presents innovative biological database modeling concepts, methods, and software tools that are integrated with case studies in genomics, functional genomics, proteomics, and drug discovery projects. Breaking new ground at the intersection of high-throughput biology, bioinformatics, and data management, this essential resource offers you a comprehensive introduction to biological data modeling techniques, biological database resources, and ontology concepts. You are introduced to the latest computational methods and software applications for processing, integrating, and managing biological data from a variety of sources, including public literature, high-throughput sequencing, gene expression profiling, proteomics profiling, and chemical compound screenings. Throughout the book, novel perspectives are presented to deal with challenges inherent in biological data, including “Omics” data--high volume, high noise, inconsistent format, incompleteness, and semantic incompatibility. Supported with more than 50 illustrations, this unique reference serves as a practical guide to your current and future bioinformatics data management projects, enabling you to design and implement effective biological data management and workflow systems.

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Book Title: Biomedical Informatics in Translational Research
Editors: Hai Hu and Michael Liebman
Content Formats: Print Book | e-Book | e-Chapter
Regular Price: $89 / £49
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Book Abstract:

This groundbreaking resource on biomedical informatics gives you step-by-step insight into innovative techniques for integrating and federating data from clinical and high-throughput molecular study platforms as well as from the public domain. It details how to apply computational and statistical technologies to clinical, genomic, and proteomic studies to enhance data collection, tracking, storage, visualization, analysis, and knowledge discovery processes, and to translate knowledge from “bench to bedside” and “bedside to bench” with never-before efficiency. Filling the need for informatics applications that bridge the clinical-basic domains and facilitate the bi-directional flow of research, this definitive volume offers a systems-oriented approach to the subject that complements the traditional bottom-up approach of systems biology. You get clear insight into how to conduct biomedical informatics research at both the clinical and molecular levels, with detailed guidelines on study design, IRB protocol development, questionnaire design, specimen collection, and other procedures and applications. The book explains the latest data integration and federation approaches, and points the way to potential new data analysis and mining methodologies for tackling problems that cannot be readily resolved using current technologies. Complete with in-depth case examples demonstrating how to develop tools for specific biomedical informatics tasks, this pioneering work will prove invaluable to your efforts in managing clinical and high-throughput data and making the most of targeted basic research.

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Book Title: Biomolecular Computation for Bionanotechnology
Editors: Jian-Qin Liu and Katsunori Shimohara
Content Formats: Print Book
Regular Price: $129 / £78
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Book Abstract:

This first-of-its-kind resource on molecular computation gives you a thorough grasp of the technologies, biochemical details, and theoretical models at the cutting edge of this multidisciplinary field, and provides you with a detailed roadmap to the challenges ahead. It explores advances in molecular biology and nanotechnology and illuminates how the convergence of various technologies, from nanobioscience to nanobioinformatics, is propelling computational capacity beyond the limitations of traditional hardware technology and into the realm of moleware. At its core, this peerless volume gives you a definitive understanding of the nanotechnology tools, methods, and issues fueling the drive to non-silicon computing. It brings you up to speed on DNA computing and membrane computing, and describes nanobiomachines including NanobioICT and their potential in information processing and communications. You gain insight into techniques for representing and operating information by molecules, along with other key issues like controlling biomolecular signaling and designing algorithms for molecular computing and moleware communication. The book presents the biological and mathematical aspects of kinase computing as an example of molecular computation through cell-based nanobiomachines, and reviews the latest directions in molecular bioinformatics including protein interactome networks. With its wealth of models, algorithms, designs, and problem-solving applications, this volume is the first to bridge the gap between biomaterial sciences/molecular biology modeling and bioinformatics engineering for bionanoscale phenomena.

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Book Title: Genome Sequencing Technology and Algorithms
Editors: Sun Kim, Haixu Tang, and Elaine R. Mardis
Content Formats: Print Book
Regular Price: $99 / £55
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Book Abstract:

From a “who’s who” of pioneers in the field comes a unique resource covering the latest advances in next-generation genome sequencing and assembly. This groundbreaking book includes non-conventional techniques that are paving the way to potential new biomedical applications. You get unparalleled access to state-of-the-art DNA sequencing technologies, new algorithmic sequence assembly techniques, and emerging methods for both resequencing and de novo genome analysis which all together give you the most solid foundation possible for tackling the full range of experimental and computational challenges in the genome sciences today. This first-of-its-kind resource walks you step-by-step through new sequencing technologies involving sequencing by synthesis, nanopore sequencing, polymerase colonies, and single molecule sequencing. It then explores the latest algorithmic techniques for DNA sequence assembly and offers expert insight into assembly packages like Arachne, EULER, CAP, AMASS, and Celera. You also get coverage of emerging biotechnology-oriented approaches to the resequencing and analysis of genomes, with the latest techniques for SNP, genome rearrangement, and comparative sequencing and assembly. Moreover, the book critiques strengths and weaknesses of existing techniques and spotlights possible ways to improve them. The most comprehensive treatment of the field’s frontier topics, this definitive volume will prove indispensable in your efforts to achieve more rapid and accurate DNA sequencing and to develop the next generation of high-throughput methods and devices.

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Book Title: Life Science Automation Fundamentals and Applications
Editors: Mingjun Zhang, Bradley Nelson, and Robin Felder
Content Formats: Print Book
Regular Price: $169 / £94
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Book Abstract:

Gain thorough understanding of the science and engineering behind today’s most advanced life sciences automation devices, systems, and technologies and their applications in biotechnology, pharmacology, and healthcare with this cutting-edge book. This comprehensive interdisciplinary resource details state-of-the-art design, modeling, and fabrication techniques for automation tools and demonstrates how they can be most effectively integrated in powerful medium-scale to large-scale automation systems to solve specific problems and challenges in the biological sciences. Showcasing the world’s top researchers in the field, this definitive work brings you up to speed with basic molecular biology, analytical chemistry, and healthcare delivery methods together with engineering principles at the heart of human-machine interactions, machine vision, robotics, and control theory. It explores the latest advances in the design and development of sensors and actuators, lab-on-a-chip and bio-MEMs platforms, DNA and protein microarray fabrication automation, and drug delivery automation, and details how these devices perform in a broad range of system-level applications, including AFM-based systems as well as bio-instrumentation, cell and tissue manipulation, and laboratory automation. The book also spotlights emerging nanotechnology applications as well as genomics, proteomics, and pharmacogenomic automations. Supported by a wealth of real-world examples and 114 illustrations and photos, this indispensable work delivers breakthrough applied research and R & D technology that will help you successfully use life science automation and develop new applications and capabilities in the field.

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Book Title: Systems Bioinformatics: An Engineering Case-Based Approach
Editors: Gil Alterovitz and Marco F. Ramoni
Content Formats: Print Book
Regular Price: $99 / £55
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Book Abstract:

This trail-blazing work introduces a quantitative systems approach to bioinformatics research using powerful computational tools drawn from signal processing, circuit analysis, control systems, and communications. It presents the functionality of biological processes in an engineering context to facilitate the application of technical skills in solving the field’s challenges, from the lab bench to data analysis and modeling, and to enable reverse engineering from biology in the development of synthetic biological devices. This first-of-its-kind text explores how the knowledge bases of various technical disciplines relate to, and are observed, in biological systems. You learn fundamental signal processing techniques that are essential to biological data analysis, including biomedical imaging and image processing, feature extraction, classification, and estimation. You gain a thorough understanding of cellular regulatory systems and their similarities to traditional control systems, protein and gene networks, inference networks, and network dynamics. The book also addresses how biology-inspired molecular structures are being used to solve engineering challenges, and how one can mimic biology’s designs in creating more robust technologies. Moreover, you discover the latest developments in proteomics, where these tools can make an immense impact due to the number, complexity, and interaction networks of proteins. A major addition under the evolving umbrella of systems biology and bioinformatics, this groundbreaking work points you to new frontiers in the convergence of engineering and biological research.

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Book Title: Text Mining for Biology and Biomedicine
Editors: Sophia Ananiadou and John McNaught
Content Formats: Print Book
Regular Price: $88 / £53
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Book Abstract:

Here’s the first focused book that puts the full range of cutting-edge biological text mining techniques and tools at your command. This comprehensive volume describes the methods of natural language processing (NLP) and their applications in the biological domain, and spells out in detail the various lexical, terminological, and ontological resources now at your disposal — and how best to utilize them. You see how terminology management tools like term extraction and term structuring facilitate effective mining, and learn ways to readily identify biomedical named entities and abbreviations. The book offers step-by-step guidance to implement various information extraction methods for biological applications, from pattern matching and full parsing approaches to sublanguage- and ontology-driven extraction techniques. It discusses strategies to make the most of text collections and to use corpora and corpus annotation efficiently in text mining applications, and also gives you tested guidelines for evaluating and optimizing text mining systems. Rounding out the volume are techniques for integrating text mining and data mining efforts to further facilitate biological analyses. Both a critical review of the state of the art and a solution-focused guide packed with field-tested expertise and advice, this first-of-its-kind work will prove indispensable whether you’re long experienced with text mining from biomedical literature or entirely new to the field.

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Book Title: Wireless Sensor Networks for Healthcare Applications
Editors: Terrance J. Dishongh, Michael McGrath, and Ben Kuris
Content Formats: Print Book
Regular Price: $109 / £60
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Book Abstract:

Developments in nanoscience, biotechnology and photonics are on the verge of offering great opportunities for the exploration of optical interactions at the nanoscale. Today, there is an ever-increasing need for optical imaging tools that are able to resolve features at the length-scales relevant for biological cells, molecules, and complexes, as well as for the rapidly developing class of materials known as nanostructures. Addressing this need, this groundbreaking book focuses on near-field microscopy which has opened up optical processes at the nanoscale for direct inspection. Further, it explores the emerging area of nano-optics which promises to make possible optical microscopy with true nanometer resolution. This frontline resource helps you achieve high resolution optical imaging of biological species and functional materials. You also find guidance in the imaging of optical device operation and new nanophotonics functionalities. From near-field photonic forces… to tip-enhanced optical spectroscopy… to nano-optics with single quantum systems, this cutting-edge volume serves as a one-stop review of modern nano-optical and nano-imaging techniques, applications, and developments.

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