Bioinformatik

Introducing the Ultimate Bioinformatics Book Bundle!Dive into the world of bioinformatics with our comprehensive book bundle, featuring four essential volumes that cover everything from foundational concepts to advanced applications. Whether you're a student, researcher, or practitioner in the life sciences, this bundle has something for everyone.Book 1: Bioinformatics Basics Get started with the basics of bioinformatics in this introductory volume. Learn about algorithms, concepts, and principles that form the backbone of bioinformatics research. From sequence analysis to genetic variation, this book lays the groundwork for understanding the fundamental aspects of bioinformatics.Book 2: Coding in Bioinformatics Take your skills to the next level with our coding-focused volume. Explore scripting languages like Python and R, and discover how to apply them to bioinformatics tasks. From data manipulation to machine learning, this book covers a wide range of coding techniques and applications in bioinformatics.Book 3: Exploring Data Science in Bioinformatics Delve into the world of data science and its applications in bioinformatics. Learn about exploratory data analysis, statistical inference, and machine learning techniques tailored specifically for biological data. With practical examples and case studies, this book helps you extract meaningful insights from complex datasets.Book 4: Mastering Biostatistics in Bioinformatics Unlock the power of biostatistics with our advanced methods volume. Explore cutting-edge statistical techniques for analyzing biological data, including survival analysis, meta-analysis, and more. Whether you're conducting experimental studies or analyzing clinical data, this book equips you with the tools you need to draw meaningful conclusions.Why Choose Our Bundle?· Comprehensive Coverage: Covering everything from basic concepts to advanced methods, this bundle provides a complete overview of bioinformatics.· Practical Focus: With hands-on coding exercises and real-world examples, our books emphasize practical skills and applications.· Expert Authors: Authored by experts in the field of bioinformatics, each book offers valuable insights and expertise.· Versatile Learning: Whether you're a beginner or an experienced practitioner, our bundle caters to learners of all levels.Don't miss out on this opportunity to enhance your skills and knowledge in bioinformatics. Order your copy of the Bioinformatics Book Bundle today!

Artificial Intelligence in Biomedical and Modern Healthcare Informatics provides a deeper understanding of the current trends in AI and machine learning within healthcare diagnosis, its practical approach in healthcare, and gives insight into different wearable sensors and its device module to help doctors and their patients in enhanced healthcare system. The primary goal of this book is to detect difficulties and their solutions to medical practitioners for the early detection and prediction of any disease. The 56 chapters in the volume provide beginners and experts in the medical science field with general pictures and detailed descriptions of imaging and signal processing principles and clinical applications. With forefront applications and up-to-date analytical methods, this book captures the interests of colleagues in the medical imaging research field and is a valuable resource for healthcare professionals who wish to understand the principles and applications of signal and image processing and its related technologies in healthcare.

This book gives a complete overview of current developments in the implementation of high performance computing (HPC) in various biomimetic technologies. The book presents various topics that are subdivided into the following parts: A) biomimetic models and mechanics; B) locomotion and computational methods; C) distributed computing and its evolution; D) distributed and parallel computing architecture; E) high performance computing and biomimetics; F) big data, management, and visualization; and G) future of high performance computing in biomimetics. This book presents diverse computational technologies to model and replicate biologically inspired design for the purpose of solving complex human problems. The content of this book is presented in a simple and lucid style which can also be used by professionals, non-professionals, scientists, and students who are interested in the research area of high performance computing applications in the development of biomimetics technologies.

This third volume provides comprehensive protocols on pre-analytical, analytical, plasma, and serum proteomics. New and updated chapters are divided into nine sections, detailing blood processing and handling strategies, discovery- and targeted-based mass spectrometry, including workflows to aid in discovery and targeted data analysis, in addition to software and bioinformatics for the plasma proteome. This edition further integrates emerging areas in the development of technologies for plasma proteomics and assay platforms in biomarker discovery and translational proteomics, enrichment and detection strategies to understand the plasma proteome, and peptide, lipid and metabolite targeted assays. We also detail the emerging analysis of extracellular vesicles isolated from plasma. Written in the format of the highly successful Methods in Molecular Biology series, each of the 33 chapters includes an introduction to the topic, lists necessary materials and methods, includes hints and tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Serum/Plasma Proteomics: Methods and Protocols, Third Edition aims to be comprehensive guide for researchers.

This volume provides comprehensive dry and wet experiments, methods, and applications on nanopore sequencing. Chapters guide readers through bioinformatic procedures, genome sequencing, analysis of repetitive regions, structural variations, rapid and on-site microbial identification, epidemiology, and transcriptome analysis. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and methods, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and cutting-edge, Nanopore Sequencing: Methods and Protocols aims to be comprehensive guide for researchers.

The Three Functional States of Proteins explores how structured proteins, intrinsically disordered proteins, and phase separated proteins contribute to the complexity of cellular life, and offers insights into their roles in both health and disease. It discusses the latest research findings and highlight groundbreaking discoveries and innovative methodologies used to study these protein states. Traditionally, the different states of proteins have been defined based on their structures and functions. However, it is becoming increasingly clear that these criteria alone may not be sufficient to capture the complex and multifaceted properties of these molecules. Definitions based on thermodynamics and kinetics are now recognized as potentially more appropriate for comprehensively understanding protein states. Emerging evidence indicates that under physiological conditions, a majority of proteins possess the capability to exist in and transition between the native, droplet, and amyloid states. These distinct states play crucial roles in various cellular functions, influenced significantly by their physicochemical and structural properties. The book also considers the interactions among these states and discusses how their internal organization as individual molecules, as well as their collective organization as molecular assemblies are stabilized. Furthermore, it examines the processes by which these states are formed and the cellular functions associated with each specific state.

The Physics of Protein Structure and Dynamics looks at various aspects of protein structure and dynamics from a physico-chemical point of view. It goes into some depth regarding the description of non-covalent forces that determine the relative stability of folded and unfolded proteins. Anharmonic protein dynamics involving motions between different minima of a rugged Gibbs energy landscape is described in great detail. The book combines various aspects of the protein folding/unfolding processes with an overview of intrinsically disordered proteins, which have attracted considerable interest of the protein community over the last 25 years but are thus far underrepresented in classroom-oriented textbooks. The book looks at protein folding and intrinsically disordered proteins as heavily interrelated topics that need to be viewed together. Furthermore, it presents some basic physico-chemical aspects of protein/peptide self-assembly into nanoscale fibrils. Intrinsically disordered peptides and proteins play a major role particularly in aggregation and self-assembly processes that lead to various diseases (Alzheimer, Parkinson, Huntington, Mad-Cow). Therefore, the relevance of protein disorder for protein self-assembly deserves a closer look. Protein self-assembly cannot be separated from protein folding since it is frequently the product of misfolding. With regard to modern theories, the folding processes are linked to insights on protein dynamics and the discovered relationship between proteins and spin glasses.

This book combines chapters emphasising mathematical, statistical, and computational modelling applied to insect populations, particularly pests or natural enemies in agricultural landscapes. There is a gap between agricultural pest experimentation and ecological theory, which requires a connection to supply models with laboratory, and field estimates and projects receiving inputs and insights from models. In addition, decision-making in entomology with respect to pest management and biological conservation of natural enemies has been supported by results obtained from different computational and mathematical approaches. This book brings contemporary issues related to optimization in spatially structured landscapes, insect movement, stability analysis, game theory, machine learning, computer vision, Bayesian modelling, as well as other frameworks.

The mammal fauna of the Brazilian Amazon is one of the most diverse on Earth with over 450 known species. Bringing together more than 70 of the world¿s top experts on Amazonian mammals, this book unites, for the first time, up-to-date data on the current state of knowledge on the ecology of all groups of non-rodent mammals in the Brazilian Amazon, analyses the effectiveness of current conservation programmes and identifies research and conservation priorities for the future.

This book helps the reader make use of the mathematical models of biological phenomena starting from the basics of programming and computer simulation. Computer simulations based on a mathematical model enable us to find a novel biological mechanism and predict an unknown biological phenomenon. Mathematical biology could further expand the progress of modern life sciences. Although many biologists are interested in mathematical biology, they do not have experience in mathematics and computer science. An educational course that combines biology, mathematics, and computer science is very rare to date. Published books for mathematical biology usually explain the theories of established mathematical models, but they do not provide a practical explanation for how to solve the differential equations included in the models, or to establish such a model that fits with a phenomenon of interest. MATLAB is an ideal programming platform for the beginners of computer science. This book starts from the very basics about how to write a programming code for MATLAB (or Octave), explains how to solve ordinary and partial differential equations, and how to apply mathematical models to various biological phenomena such as diabetes, infectious diseases, and heartbeats. Some of them are original models, newly developed for this book. Because MATLAB codes are embedded and explained throughout the book, it will be easy to catch up with the text. In the final chapter, the book focuses on the mathematical model of the proneural wave, a phenomenon that guarantees the sequential differentiation of neurons in the brain. This model was published as a paper from the author¿s lab (Sato et al., PNAS 113, E5153, 2016), and was intensively explained in the book chapter ¿Notch Signaling in Embryology and Cancer¿, published by Springer in 2020. This book provides the reader who has a biological background with invaluable opportunities to learn and practice mathematical biology.

This volume details state-of-the-art computational methods designed to manage, analyze, and generally leverage epigenomic and epitranscriptomic data. Chapters guide readers through fine-mapping and quantification of modifications, visual analytics, imputation methods, supervised analysis, and integrative approaches for single-cell 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. Cutting-edge and thorough, Computational Epigenomics and Epitranscriptomics aims to provide an overview of epiomic protocols, making it easier for researchers to extract impactful biological insight from their data.

A DNA computer is a collection of specially selected DNA strands, which when encoded into specific combinations are then subjected to bio-molecular manipulation in order to solve computational problems. Rather than storing information in the 1s and 0s of the binary number system, it is now stored in the form of the bases adenine (A), thymine (T), cytosine (C) and guanine (G). These bases can be arranged into short sequences of DNA that are then artificially synthesised for use as algorithmic inputs. The remarkable advantages of DNA computing, including dense data storage, massively parallel computation, and extraordinary energy efficiency, underscore its potential to revolutionize conventional computing. This innovative approach aligns with a broader trend of harnessing natural processes as computational models.DNA Logic Design: Computing with DNA not only unravels the theoretical intricacies but also navigates the practical challenges, offering a comprehensive exploration of a groundbreaking field at the intersection of biology and computer science. The book starts with the basics of DNA computing, and then describes the fundamental operations of DNA computing. Various kinds of logical designs are then translated into the DNA computing context: arithmetic circuits, combinational circuits, sequential circuits, memory devices, programmable logic devices, and nano processors. Heat and speed calculation techniques round off the book.

The volume presents a small selection of state-of-the-art approaches for studying transposable elements(TE). Chapters guide readers through HTS-based approaches, bioinformatic tools, methods to studyTE protein complexes, and the functional impact on the host. Written in the 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 protocols, and notes on troubleshooting and avoiding known pitfalls. Authoritative and cutting-edge, Transposable Elements: Methods and Protocols aims to be a useful practical guide to researches to help further their study in this field. 

This volume provides up-to-date methods on single cell wet and bioinformatics protocols based on the researcher experiment requirements. Chapters detail basic analytical procedures, single-cell data QC, dimensionality reduction, clustering, cluster-specific features selection, RNA velocity, multi-modal data integration, and single cell RNA editing. 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. Cutting-edge and comprehensive, Single Cell Transcriptomics: Methods and Protocols aims to be a valuable resource for all researchers interested in learning more about this important and developing field.

This new edition of the classic textbook provides bold and honest descriptions of the current and evolving state of US healthcare information technology. Emerging technologies and novel practice and business models are changing the delivery and management of healthcare, as innovation and adoption meet new needs and challenges, such as those posed by the recent COVID-19 pandemic. Many facets of these are presented in this volume:* The increasing mutual impact of information technology and healthcare with respect to costs, workforce training and leadership* The changing state of healthcare IT privacy, security, interoperability and data sharing through health information exchange* The rise and growing importance of telehealth/telemedicine in the era of COVID-19* Innovations and trends in the development and deployment of health IT in public health, disease modeling and tracking, and clinical/population health research* Current work in health IT as it is used in patient safety, chronic disease management, critical care, rehabilitation/long-term/home-based patient care and care coordination* "e;Brave new world"e; visions of healthcare and health IT, with forward- looking considerations of the impact of artificial intelligence, machine learning on healthcare equity and policyBuilding on the success of previous editions, this 5th edition of Healthcare Information Management Systems: Cases, Strategies, and Solutions provides healthcare professionals insights to new frontiers and to the directions being taken in the technical, organizational, business and management aspects of information technology in the ongoing quest to optimize healthcare quality and cost, and to improve universal health at all levels.

Dieses Lehrbuch richtet sich an Studierende von fachfremden Studiengängen mit Informatikanteilen. Ein besonderer Schwerpunkt liegt dabei auf den sogenannten Lebenswissenschaften, wie Medizintechnik, Rettungsingenieurwesen, Biotechnologie, Umwelttechnik oder Verfahrenstechnik. Das Lehrbuch eignet sich für Leser in Studium und Praxis, die sich einen Einstieg in die Informatik verschaffen wollen. Die Besonderheit dieses Buches liegt in der problembasierten Herangehensweise, sowie der nach verschiedenen Taxonomiestufen konzipierten Übungsaufgaben.

The book presents a conceptual and methodological basis for the mathematical and computational analysis of genomes.Genomes are containers of biological information, which direct the cell functions and the evolution of organisms. Combinatorial, probabilistic, and informational aspects are fundamental ingredients of any mathematical investigation of genomes aimed at providing mathematical principles for extracting the information that they contain.The topics presented in the book include research themes developed by authors in the last 15 years, and in many aspects, the book continues a preceding volume (Vincenzo Manca, Infobiotics: Information in biotic systems, Springer, 2013). The main inspiring idea of the book is an informational perspective to Genomics. Information is the most recent, among the fundamental mathematical and physical concepts developed in the last two centuries. It has revolutionized the whole science and continues, in this direction, to dominate the trends of the contemporary science. In fact, any discipline collects data from observations, by providing theories able to explain, predict, and dominate natural phenomena. But data are containers of information, whence information is essential in any scientific elaboration.Many open problems in deciphering genomes will be addressed, by showing an informational approach to the discovery of ¿genome languages¿, according to which genomic texts are written. Life strategies, at many levels of organization, are encoded in these texts, and randomness has a crucial role in the birth and in the development of biological information, where the interplay of casualty and computation is probably the most secret key of life intelligence.