This detailed book provides state-of-art computational approaches to further explore the exciting opportunities presented by single-cell technologies. Chapters each detail a computational toolbox aimed to overcome a specific challenge in single-cell analysis, such as data normalization, rare cell-type identification, and spatial transcriptomics analysis, all with a focus on hands-on implementation of computational methods for analyzing experimental data. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Computational Methods for Single-Cell Data Analysis aims to cover a wide range of tasks and serves as a vital handbook for single-cell data analysis.
A timely update of a highly popular handbook on statistical genomics This new, two-volume edition of a classic text provides a thorough introduction to statistical genomics, a vital resource for advanced graduate students, early-career researchers and new entrants to the field. It introduces new and updated information on developments that have occurred since the 3rd edition. Widely regarded as the reference work in the field, it features new chapters focusing on statistical aspects of data generated by new sequencing technologies, including sequence-based functional assays. It expands on previous coverage of the many processes between genotype and phenotype, including gene expression and epigenetics, as well as metabolomics. It also examines population genetics and evolutionary models and inference, with new chapters on the multi-species coalescent, admixture and ancient DNA, as well as genetic association studies including causal analyses and variant interpretation. The Handbook of Statistical Genomics focuses on explaining the main ideas, analysis methods and algorithms, citing key recent and historic literature for further details and references. It also includes a glossary of terms, acronyms and abbreviations, and features extensive cross-referencing between chapters, tying the different areas together. With heavy use of up-to-date examples and references to web-based resources, this continues to be a must-have reference in a vital area of research. Provides much-needed, timely coverage of new developments in this expanding area of study Numerous, brand new chapters, for example covering bacterial genomics, microbiome and metagenomics Detailed coverage of application areas, with chapters on plant breeding, conservation and forensic genetics Extensive coverage of human genetic epidemiology, including ethical aspects Edited by one of the leading experts in the field along with rising stars as his co-editors Chapter authors are world-renowned experts in the field, and newly emerging leaders. The Handbook of Statistical Genomics is an excellent introductory text for advanced graduate students and early-career researchers involved in statistical genetics.
Cells are the most fundamental building block of all living organisms. The investigation of any type of disease mechanism and its progression still remains challenging due to cellular heterogeneity characteristics and physiological state of cells in a given population. The bulk measurement of millions of cells together can provide some general information on cells, but it cannot evolve the cellular heterogeneity and molecular dynamics in a certain cell population. Compared to this bulk or the average measurement of a large number of cells together, single-cell analysis can provide detailed information on each cell, which could assist in developing an understanding of the specific biological context of cells, such as tumor progression or issues around stem cells. Single-cell omics can provide valuable information about functional mutation and a copy number of variations of cells. Information from single-cell investigations can help to produce a better understanding of intracellular interactions and environmental responses of cellular organelles, which can be beneficial for therapeutics development and diagnostics purposes. This Special Issue is inviting articles related to single-cell analysis and its advantages, limitations, and future prospects regarding health benefits.
Fuel cell systems have now reached a degree of technological maturity and appear destined to form the cornerstone of future energy technologies. But the rapid advances in fuel cell system development have left current information available only in scattered journals and Internet sites. The even faster race toward fuel cell commercialization further
This book provides a brief overview of single-cell analysis using recent advanced technologies. The different sections cover different aspect of single cell analysis and applications with their advantages, limitations, and future challenges. The book has covered how different physical energies such as optical, electrical, and mechanical energy have been applied for single cell therapy and analysis. The recent advanced micro/nanofluidic devices have been employed for single-cell counting, manipulation, cultivation, separation, isolation, lysis, printing and patterning and host-viral interaction at single-cell level. Various chemical approaches for single-cell analysis have been discussed, such as liposome mediated materials transfer at single-cell and their analysis, discovery of antibody via single-cell, high-throughput screening of antigen-specific antibody-secreting cells, and biomolecular secretion analysis of individual cells. Moreover, different single-cell omics such as genomics, proteomics and transcriptomics have been discussed using microfluidic technologies as well as conventional approaches. The role of single cell analysis in system biology and biocatalysis have been discussed in detail. The book describes single-cell phenotyping of heterogeneous tissue, stimulation, and instant reaction quenching technology for biochemical kinetic analysis, large scale single-cell assay for the identification of biocatalysts and analytical techniques for single-cell studies in microbiology. The role of single-cell analysis in cancer, such as single-cell adhesion and cancer progression, single-cell technologies for cancer therapy, analytical technology for single cancer cell analysis, and biophysical markers for cancer cell analysis have been discussed. The flow cytometry based high throughput single-cell analysis have been well emphasized. Finally this book has covered single-cell electrophysiology, single-cell sensing and size measurement using mechanical and microwave resonators, molecular force spectroscopy for cell adhesion measurement, micro-tweezers and force microscopy techniques for single-cell mechanobiological analysis, mass spectrometry and acoustic tweezers for single-cell manipulation and analysis. This book is intended for academic and industrial researchers, undergraduate and graduate students in the fields of biomedical engineering, bio-micro/nanoengineering, and bio-micro/nano fabrication for single-cell analysis. It can be used for courses on bio-MEMS/bio-NEMS, biomicrofluidics, bio-micro/nanofabrications, micro/nanofluidics, biophysics, single cell analysis, bionanotechnology, drug delivery systems and biomedical microdevices. Collective contributions from respected experts, have brought diverse aspects of single-cell technologies in a single hand book. This will benefit researchers and practitioners in the biotechnology industry for different diseases analysis, therapeutics, diagnostics, drug discovery, drug screening etc. In addition to hard copies, the book will be available online and will often be updated by the authors.
This book provides an entry point into Systems Biology for researchers in genetics, molecular biology, cell biology, microbiology and biomedical science to understand the key concepts to expanding their work. Chapters organized around broader themes of Organelles and Organisms, Systems Properties of Biological Processes, Cellular Networks, and Systems Biology and Disease discuss the development of concepts, the current applications, and the future prospects. Emphasis is placed on concepts and insights into the multi-disciplinary nature of the field as well as the importance of systems biology in human biological research. Technology, being an extremely important aspect of scientific progress overall, and in the creation of new fields in particular, is discussed in 'boxes' within each chapter to relate to appropriate topics. - 2013 Honorable Mention for Single Volume Reference in Science from the Association of American Publishers' PROSE Awards - Emphasizes the interdisciplinary nature of systems biology with contributions from leaders in a variety of disciplines - Includes the latest research developments in human and animal models to assist with translational research - Presents biological and computational aspects of the science side-by-side to facilitate collaboration between computational and biological researchers
Now in its second edition, this handbook collects authoritative contributions on modern methods and tools in statistical bioinformatics with a focus on the interface between computational statistics and cutting-edge developments in computational biology. The three parts of the book cover statistical methods for single-cell analysis, network analysis, and systems biology, with contributions by leading experts addressing key topics in probabilistic and statistical modeling and the analysis of massive data sets generated by modern biotechnology. This handbook will serve as a useful reference source for students, researchers and practitioners in statistics, computer science and biological and biomedical research, who are interested in the latest developments in computational statistics as applied to computational biology.
Handbook of Epigenetics: The New Molecular and Medical Genetics, Third Edition provides a comprehensive analysis of epigenetics, from basic biology to clinical application. This new edition has been fully revised to cover the latest and evolving topics in epigenetics, with chapters updated and new chapters added on topics such as single-cell epigenetics, DNA methylation clocks in age-related diseases, transposable elements and epigenetics, X chromosome inactivation, and the epigenetics of drug addiction, among other topics. Throughout this edition, greater emphasis falls on epigenomic analyses and incorporating multi-omics approaches rather than gene-specific analyses. In addition, this edition has also been enhanced with step-by-step instructions in research methods, as well as easy-to-digest disease case studies and clinical trials that provide context and applied examples of recent advances in disease understanding and epigenetic therapeutics. These features empower researchers to reproduce the approaches and studies discussed and aid clinical translation. Live links across chapters tie in relevant external datasets and resources. - Provides a timely and comprehensive collection of fully up-to-date coverage of epigenetics - Covers basic epigenetic biology, research methods and technology, disease relationships and clinical medicine - Written at a verbal and technical level that can be understood by scientists and students alike, with chapter summaries and conclusions included throughout - Discusses exciting new topics in epigenetics, such as DNA methylation clocks in age-related diseases, transposable elements and epigenetics, X chromosome inactivation, and the epigenetics of drug addiction - Includes step-by-step instructions in research protocols to aid reproducibility, as well as easy-to-digest disease case studies and clinical trials, providing context and applied examples of recent clinical translation
The Handbook of Microalgae-based Processes and Products provides a complete overview of all aspects involved in the production and utilization of microalgae resources at commercial scale. Divided into four parts (fundamentals, microalgae-based processes, microalgae-based products, and engineering approaches applied to microalgal processes and products), the book explores the microbiology and metabolic aspects of microalgae, microalgal production systems, wastewater treatment based in microalgae, CO2 capture using microalgae, microalgae harvesting techniques, and extraction and purification of biomolecules from microalgae. It covers the largest number of microalgal products of commercial relevance, including biogas, biodiesel, bioethanol, biohydrogen, single-cell protein, single-cell oil, biofertilizers, pigments, polyunsaturated fatty acids, bioactive proteins, peptides and amino acids, bioactive polysaccharides, sterols, bioplastics, UV-screening compounds, and volatile organic compounds. Moreover, it presents and discusses the available engineering tools applied to microalgae biotechnology, such as process integration, process intensification, and techno-economic analysis applied to microalgal processes and products, microalgal biorefineries, life cycle assessment, and exergy analysis of microalgae-based processes and products. The coverage of a broad range of potential microalgae processes and products in a single volume makes this handbook an indispensable reference for engineering researchers in academia and industry in the fields of bioenergy, sustainable development, and high-value compounds from biomass, as well as graduate students exploring those areas. Engineering professionals in bio-based industries will also find valuable information here when planning or implementing the use of microalgal technologies. - Covers theoretical background information and results of recent research. - Discusses all commercially relevant microalgae-based processes and products. - Explores the main emerging engineering tools applied to microalgae processes, including techno-economic analysis, process integration, process intensification, life cycle assessment, and exergy analyses.
