Bioinformatik

This book discusses table and hatching eggs, quality-based grading of eggs, pre-incubation, incubation, hatching and post-hatch monitoring period, and how the next-generation management of these process can be enriched by informatics through non-destructive technologies, signal processing, machine learning, AI, IoT applications, etc. This book will be a beneficial resource for egg and poultry science researchers, avian biologists and ecologists, developmental biologists, agricultural engineers, advanced graduate and postgraduate students, and poultry production industry stakeholders.

This book offers an in-depth and comprehensive review on current understanding of regulatory ncRNAs in complex diseases from a view of bioinformatics. It conveys state-of-the-art bioinformatics tools and methods for ncRNAs from computational detection, functional prediction, to their roles in diseases. Computational methods used to investigate uncharacterised ncRNAs in diseases are mainly summarized in seven aspects: DNA variation of ncRNAs in diseases, prioritization of disease-related ncRNAs, dysregulation epigenetic factors that regulate ncRNA misexpression (DNA methylation and histone-modification), complex crosstalk across ncRNAs, ncRNAs acted as competing regulators to mediate the expression of protein-coding genes, non-coding RNAs mediated risk pathways,and their contributions to drug target predictions. The generally used data resources of ncRNAs are also listed in the end. This book provides important information on the current progress in the fast-moving fields of bioinformatics for regulatory ncRNAs. It provides a timely and useful reference for computational biologists, specifically with RNA interests, and other related areas.Prof. Xia Li is a Professor and the Dean of College of Bioinformatics Science and Technology, Harbin Medical University, China. Dr. Yun Xiao, Dr. Juan Xu, Dr. Shangwei Ning and Dr. Yunpeng Zhang are from College of Bioinformatics Science and Technology, Harbin Medical University, China.

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.

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.

This textbook provides an introduction to the mathematical models of population dynamics in mathematical biology. The focus of this book is on the biological meaning/translation of mathematical structures in mathematical models, rather than simply explaining mathematical details and literacies to analyze a model. In some recent usages of the mathematical model simply with computer numerical calculations, the model includes some inappropriate mathematical structure concerning the reasonability of modeling for the biological problem under investigation. For students and researchers who study or use mathematical models, it is important and helpful to understand what mathematical setup could be regarded as reasonable for the model with respect to the relation between the biological factors involved in the assumptions and the mathematical structure of the model.Topics covered in this book are; modeling with geometric progression, density effect in population dynamics, deriving continuous time models from discrete time models, basic modeling for birth-death stochastic processes, continuous time models, modeling interspecific reaction for the continuous time population dynamics model, competition and prey-predator dynamics, modeling for population dynamics with a heterogeneous structure of population, qualitative analysis on the discrete time dynamical system, necessary knowledge about fundamental mathematical theories to understand the dynamical nature of continuous time models. The book includes popular topics in ecology and mathematical biology, as well as classic theoretical topics.By understanding the biological meaning of modeling for simple models, readers will be able to derive a specific mathematical model for a biological problem by reasonable modeling. The contents of this book is made accessible for readers without strong Mathematical background.

The basic goal of the volume is to compile the most up to date research on the effect of ecotourism on Indonesia's primates. The tremendous diversity of primates in Indonesia, in conjunction with the conservation issues facing the primates of this region, have created a crisis whereby many of Indonesia's primates are threatened with extinction. Conservationists have developed the concept of "e;sustainable ecotourism"e; to fund conservation activities.  National parks agencies worldwide receive as much as 84% of their funding from ecotourism.  While ecotourism funds the majority of conservation activities, there have been very few studies that explore the effects of ecotourism on the habitat and species that they are designed to protect.  It is the burgeoning use of "e;ecotourism"e; throughout Indonesia that has created a need for this volume where the successes and pitfalls at various sites can be identified and compared. 

Das grundlegende Kompendium führt in das zunehmend wichtiger werdende Thema der Biosginalverarbeitung ein. Der inhaltliche Aufbau orientiert sich an der Abfolge der diagnostischen Kette: von Sensorik, Signalverstärkung und -konditionierung über Signalabtastung und -digitalisierung, Methoden der Biosignalverarbeitung bis zu Auswertung und Diagnosevorschlag. Dabei liefert jedes Kapitel das entsprechende theoretische und methodische Wissen, behandelt Realisierungsalternativen und stellt Praxisbeispiele sowie die aktuell verfügbare Technik vor.

Advances in experimental technologies have given rise to tremendous amounts of biology data. This not only offers valuable sources of data to help understand biological evolution and functional mechanisms, but also poses challenges for accurate and effective data analysis. This book offers an essential introduction to the theoretical and practical aspects of association analysis, including data pre-processing, data mining methods/algorithms, and tools that are widely applied for computational biology. It covers significant recent advances in the field, both foundational and application-oriented, helping readers understand the basic principles and emerging techniques used to discover interesting association patterns in diverse and heterogeneous biology data, such as structure-function correlations, and complex networks with gene/protein regulation. The main results and approaches are described in an easy-to-follow way and accompanied by sufficient references and suggestions for future research. This carefully edited monograph is intended to provide investigators in the fields of data mining, machine learning, artificial intelligence, and bioinformatics with a profound guide to the role of association analysis in computational biology. It is also very useful as a general source of information on association analysis, and as an overall accompanying course book and self-study material for graduate students and researchers in both computer science and bioinformatics.

Emery and Rimoin¿s Principles and Practice of Medical Genetics and Genomics: Developmental Disorders, Seventh Edition is distinguished as the ultimate resource for clinicians integrating genetics into medical practice. This updated edition includes the latest information on seminal topics such as prenatal diagnosis, genome and exome sequencing, public health genetics, genetic counseling, and management and treatment strategies. This comprehensive yet practical resource emphasizes theory and research fundamentals related to applications of medical genetics across the full spectrum of inherited disorders and applications in medicine more broadly. Users will find comprehensive sections on medical genetics applied to a range of developmental disorders and an emphasis on understanding the genetic mechanisms underlying these disorders, diagnostic approaches, and therapeutics that make use of current genomic technologies and translational studies. Updated chapters on human developmental genetics as well as the genetics of sexual development, clefting, dental, and craniofacial syndromes, craniosynostosis, rasopathies, sex-chromosome abnormalities, and autosomal deletions, among other disorders are included.

This volume details state-of-the- art methods on computer-aided antibody design. Chapters guide readers through information on antibody sequences and structures,  modeling antibody structures and dynamics, prediction and optimization of biological and biophysical properties of antibodies, prediction of antibody-antigen interactions, and computer-aided antibody affinity maturation and beyond. 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 reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols.Authoritative and cutting-edge, Computer-Aided Antibody Design aims to be a useful and practical guide to new researchers and experts looking to expand their knowledge. Chapter 2 is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

This volume provides detailed information on various laboratory techniques and methodologies used for studying viruses at the molecular level. It covers essential topics such as nucleic acid isolation, protein isolation, PCR-based techniques, western blotting, serological assays, immunoprecipitation, small interfering RNA (siRNA), histological methods, bioinformatics and in silico simulations. Each chapter provides a detailed overview of the techniques, their applications, and their significance in virus research. The book is a useful resource as a practical introductory note that could be used for hands-on training of students, both undergraduates and junior postgraduates.

This book explores the most important processing steps of proteomics data analysis and presents practical guidelines, as well as software tools, that are both user-friendly and state-of-the-art in chemo- and biostatistics. Beginning with methods to control the false discovery rate (FDR), the volume continues with chapters devoted to software suites for constructing quantitation data tables, missing value related issues, differential analysis software, and more. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detail and implementation advice that leads to successful results. Authoritative and practical, Statistical Analysis of Proteomic Data: Methods and Tools serves as an ideal guide for proteomics researchers looking to extract the best of their data with state-of-the art tools while also deepening their understanding of data analysis.

This book presents cutting-edge research and developments in the field of biomedical engineering, with a special emphasis on results achieved in Vietnam and neighboring low- and middle-income countries. Covering both fundamental and applied research, and focusing on the theme of ¿Translational Healthcare Technology from Advanced to Low and Middle Income Countries in the Era of Covid and Digital Transformation¿, it reports on the design, fabrication, and application of low-cost and portable medical devices, biosensors, and microfluidic devices, on improved methods for biological data acquisition and analysis, on nanoparticles for biological applications, and on new achievements in biomechanics, tissue engineering, and regeneration. It describes the developments of molecular and cellular biology techniques, neuroengineering techniques, and statistical and computational methods, including artificial intelligence, for biomedical applications. It also discusses strategies to addresssome relevant issues in biomedical education and entrepreneurship. Gathering the proceedings of the 9th International Conference on The Development of Biomedical Engineering in Vietnam, BME 9, held on December 27-29, 2022, in Ho Chi Minh, Vietnam, the book offers important answers to current challenges in the field and a source of inspiration for scientists, engineers, and researchers with various backgrounds working in different research institutes, companies, and countries.

This book encapsulates and occupies recent advances and state-of-the-art applications of nature-inspired computing (NIC) techniques in the field of bioinformatics and computational biology, which would aid medical sciences in various clinical applications. This edited volume covers fundamental applications, scope, and future perspectives of NIC techniques in bioinformatics including genomic profiling, gene expression data classification, DNA computation, systems and network biology, solving personalized therapy complications, antimicrobial resistance in bacterial pathogens, and computer-aided drug design, discovery, and therapeutics. It also covers the role of NIC techniques in various diseases and disorders, including cancer detection and diagnosis, breast cancer, lung disorder detection, disease biomarkers, and potential therapeutics identifications.

This book highlights the recent advances in the field of microbial engineering and its application in human healthcare. It underscores the systemic and synthetic biology approaches for engineering microbes and discusses novel treatments for inflammatory bowel diseases based on engineered probiotics.The book also reviews the different options and methods for engineering microbes, ranging from recombinant DNA technology to designing microbes for targeting specific sites and delivering therapeutics. Further, it discusses genetically engineered microorganisms for smart diagnostics and describes current approaches in microbial gene editing using CRISPR-Cas9-based tools. Lastly, it summarizes the potential applications of human microbiome engineering in improving human health and explores potential strategies for scaling-up the production of engineered microbial strains for commercial purposes, as well as the challenges. Given its scope, this book is a valuable resource for students, researchers, academics and entrepreneurs interested in understanding microbial engineering for the production of commercial products.

The field of control is increasingly in demand for the development of wind energy systems, particularly for solving the problems of integrating wind turbines into a power grid. In the same vein, this book covers the following topics:- The stakes involved in the conquest of wind power and global electricity production.- A review of the fundamental theories on the study and design of wind power stations associated with controlled static converters.- Comparative study of the main MPPT control models, and validation of the models of the elements that make up a wind power system.- Exploiting the advantages of direct and indirect vector control principles applied to GADA.- Efficient selection and exploration of the performance of controllers based on Fuzzy Logic (FGL), Self-Adaptive Fuzzy Logic with PI (SAFFL-PI) and Artificial Neural Network (ANN).- The implementation of hybrid control of the wind power system combining PI/PID, LF, H¿ controllers and the Derivative Action Filter (Fd).The results of this work are obtained via the MATLAB/Simulink environment.

This book offers an accessible introduction to random walk and diffusion models at a level consistent with the typical background of students in the life sciences. In recent decades these models have become widely used in areas far beyond their traditional origins in physics, for example, in studies of animal behavior, ecology, sociology, sports science, population genetics, public health applications, and human decision making.  Developing the main formal concepts, the book provides detailed and intuitive step-by-step explanations, and moves smoothly from simple to more complex models. Finally, in the last chapter, some successful and original applications of random walk and diffusion models in the life and behavioral sciences are illustrated in detail. The treatment of basic techniques and models is consolidated and extended throughout by a set of carefully chosen exercises.  

This book covers recent trends and applications of nonlinear dynamics in various branches of society, science, and engineering. The selected peer-reviewed contributions were presented at the International Conference on Nonlinear Dynamics and Applications (ICNDA 2022) at Sikkim Manipal Institute of Technology (SMIT) and cover a broad swath of topics ranging from chaos theory and fractals to quantum systems and the dynamics of the COVID-19 pandemic. Organized by the SMIT Department of Mathematics, this international conference offers an interdisciplinary stage for scientists, researchers, and inventors to present and discuss the latest innovations and trends in all possible areas of nonlinear dynamics.

Boolean Satisfiability (SAT)is one of the famous problem present in the field of computer scienceand mathematical theory. Boolean Satisfiability can be defined as the problem of finding assignmentsto the variables such that, it satisfy the given a Boolean formula. Boolean Satisfiabilityproblems arise in many applications such as cryptology, hardware and software verification,reliability, artificial intelligence, decision under logic constraints, computational studies of Biologicalnetworks. Recent application of solving Boolean systems arises in Biological(Genetic Regulatory) Networks.The CNF Satisfiability(CNFSAT) Problem is one of the important case of of the SatisfiabilityProblem, where the Boolean formula is represented in the CNF form i.e.Conjunctive NormalForm (CNF).This means Boolean formula is a conjunction of clauses and each clause is a disjunctionof literals. A literal is a variable or its negation.CNF SAT has central importance incomputer science. SAT normally suits to the formulas if they are in Conjunctive NormalForm , as mentioned, should be a set of clauses.SAT is considered as NP-complete problem in its general form. Inspite of this reality,there are number of problems which can be successfully solved by SAT such as cryptanalysis,bioinformatics, hardware verification, etc. For recent past twenty years the effectiveness ofSAT algorithms has significantly increased. XOR-SAT is one special case of Boolean SAT where each equation is an exclusive OR(XOR) combination of variables. Such linear XOR systems naturally appear in problems suchas quadratic sieve method for prime factorization of numbers. Also in decoding of linearerror correction coding, linear XOR systems.In the specific case of cryptography, SAT solversbecame a very important tool to analyse and break encoding mechanisms. Within the case ofcryptanalytic application, many times SAT solvers have faced with issues that encode relativelylarge amount of XOR constraints.

This handbook in two volumes offers a heretofore unavailable compilation of detailed information on foraminifera of the Caspian-Black Sea-Mediterranean Corridors ("e;CORRIDORS"e;), including their taxonomy, ecology, and applications in the study of Quaternary stratigraphy, paleogeographic reconstruction, and environmental stress. This subject is significant in light of the ongoing debates regarding the Flood Hypotheses because foraminifera can provide more information about many of the disputed questions. Foraminifera are highly reliable paleoenvironmental indicators, ubiquitous in marine environments, and taxonomically diverse, which gives them the potential for a wide range of biological responses to varied environmental factors. Their tests are readily preserved and can record evidence of environmental change through time, thus providing historical baseline data even in the absence of background studies. This book presents taxonomic descriptions for about 500 species and subspecies from the Black Sea, Sea of Azov, Caspian Sea, Aral Sea, Sea of Marmara, and the Eastern Mediterranean. This catalogue is supplemented by ecological remarks, stratigraphic distributions, paleogeography, and environmental/paleoenvironmental applications, including responses to environmental stress, e.g., river discharge, pollution by different contaminants, etc. The book will be useful to specialists in Quaternary history of the "e;CORRIDORS"e; as well as those in environmental monitoring and risk assessment. This handbook offers detailed taxonomic descriptions of foraminifera from the Black Sea, Caspian Sea, Sea of Azov, Aral Sea (in Volume 1) and Eastern Mediterranean and Sea of Marmara (in Volume 2). 

This volume provides readers with a broad collection of theoretical, computational, and experimental methods to quantitatively study the properties of phase-separate biomolecular condensates in diverse systems. The chapters in this book cover topics such as theoretical and computational methods; methods for in vitro characterization of biomolecular condensates; and techniques that enable in-cell characterization of biomolecular condensates. Written in the highly successful Methods in Molecular Biology series format, chapters include introduction to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and expert tips on troubleshooting and avoiding known pitfalls.Comprehensive and thorough, Phase-Separated Biomolecular Condensates: Methods and Protocols is a valuable resource that helps researchers learn and use established methods to study both biophysical properties and biological functions of biomolecular condensates. 

This volume provides protocols for computational, statistical, and machine learning methods that are mainly applied to the study of metabolic engineering, synthetic biology, and disease applications. These techniques support the latest progress in cross-disciplinary research that integrates the different scales of biological complexity. The topics covered in this book are geared toward researchers with a background in engineering, computational analytical, and modeling experience and cover a broad range of topics in computational and machine learning approaches. 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.Comprehensive and practical, Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology is a valuable resource for any researcher or scientist who wants to learn more about the latest computational methods and how they are applied toward the understanding and prediction of complex biology.