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Programming --- Computational Biology --- Bioinformatics --- Bio-informatique --- Bioinformatics. --- Computational Biology. --- Bioinformatica --- Bioinformatica. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Data processing --- Bioinformatique. --- Bioinformatique

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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 biolo

Systems biology --- Bioinformatics --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Biological systems --- Molecular biology --- Data processing

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Suitable for advanced undergraduates and postgraduates, "Understanding Bioinformatics" provides a definitive guide to this vibrant and evolving discipline. This book takes a conceptual approach. It guides the reader from first principles through to an understanding of the computational techniques and the key algorithms. "Understanding Bioinformatics" is an invaluable companion for students from their first encounter with the subject through to more advanced studies. This book is divided into seven parts, with the opening part introducing the basics of nucleic acids, proteins and databases. Subsequent parts are divided into 'Applications' and 'Theory' Chapters, allowing readers to focus their attention effectively.In each section, the Applications Chapter provides a fast and straightforward route to understanding the main concepts and 'getting started'. Each of these is then followed by Theory Chapters which give greater detail and present the underlying mathematics. In Part 2, Sequence Alignments, the Applications Chapter shows the reader how to get started on producing and analyzing sequence alignments, and using sequences for database searching, while the next two chapters look closely at the more advanced techniques and the mathematical algorithms involved. The Part 3 covers evolutionary processes and shows how bioinformatics can be used to help build phylogenetic trees. Part 4 looks at the characteristics of whole genomes. In Parts 5 and 6 the focus turns to secondary and tertiary structure - predicting structural conformation and analysing structure-function relationships. The last part surveys methods of analyzing data from a set of genes or proteins of an organism and is rounded off with an overview of systems biology.The writing style of "Understanding Bioinformatics" is notable for its clarity, while the extensive, full-color artwork has been designed to present the key concepts with simplicity and consistency. Each chapter uses mind-maps and flow diagrams to Give an overview of the conceptual links within each topic.

Biomathematics. Biometry. Biostatistics --- Computational Biology --- Bioinformatics --- Bio-informatique --- methods --- Bioinformatics. --- methods. --- Bioinformatica --- 57.087 --- Methods and techniques for parameter estimation. Recording of biological data --- Bioinformatica. --- 57.087 Methods and techniques for parameter estimation. Recording of biological data --- Methods. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Data processing

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This book presents recently discovered design principles that govern the structure and behavior of biological networks such as gene circuits, highlighting simple, recurring circuit elements that make up the network. It provides a quantitative theory for which circuits are found in a given environment and a mathematical framework for understanding and even designing biological circuits. The book requires only basic mathematics and includes a review of the necessary background material. It fills a significant need for a textbook and introduction to the concepts, principles, and mathematical tools that will form the basis of future developments in the field. An Introduction to Systems Biology: Design Principles of Biological Circuits builds a solid foundation for the intuitive understanding of general principles. It encourages the reader to ask why a system is designed in a particular way and then proceeds to answer with simplified models. •Explains the basic circuitry in transcription regulation, signal transduction, and developmental networks •Includes examples ranging from bacterial chemotaxis through developmental patterning and neuronal circuits to immune recognition •Examines the principle of robustness •Details how constrained evolutionary optimization can be used to understand optimal circuit design •Considers how kinetic proofreading and other mechanisms can minimize errors made in biological information-processing •Includes solved problems after each chapter that detail topics not discussed in the main text Thorough and accessible, this book presents the design principles of biological systems, and highlights the recurring circuit elements that make up biological networks. It provides a simple mathematical framework which can be used to understand and even design biological circuits. The text avoids specialist terms, focusing instead on several well-studied biological systems that concisely demonstrate key principles.

Biomathematics. Biometry. Biostatistics --- Mathematical statistics --- Computational biology --- Biological systems --- Bio-informatique --- Systèmes biologiques --- Mathematical models --- Modèles mathématiques --- Systems biology --- Cellule --- cells --- Biologie --- biology --- Développement biologique --- biological development --- Réseau de neurones --- Neural networks --- Mécanisme chimiotactique --- Chemotaxis --- Facteur de transcription --- Transcription factors --- Immunogénétique --- Immunogenetics --- Expression des gènes --- gene expression --- Biosystems --- Systems, Biological --- Biology --- System theory --- Philosophy --- Computational biology. --- Systems biology. --- Basic Sciences. Biology --- Mathematical models. --- Biosystematics --- Biosystematics. --- Systèmes biologiques --- Modèles mathématiques --- Bioinformatics --- Molecular biology --- Biological systems - Mathematical models

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577.2 --- 575.08:577.21 --- 575.08:577.21 Genetic engineering, genetic manipulation, recombinant DNA --- Genetic engineering, genetic manipulation, recombinant DNA --- 577.2 Molecular bases of life. Molecular biology --- Molecular bases of life. Molecular biology --- Nucleotide sequence. --- genomes --- Clonage moléculaire --- DNA --- Molecular cloning. --- Basic Sciences. Molecular Biology --- Analysis. --- Genetic Engineering. --- Molecular cloning --- Nucleotide sequence --- Analysis, Nucleic acid sequence --- Analysis, Nucleotide sequence --- Base sequence (Nucleic acids) --- DNA sequence --- Nucleic acid sequence analysis --- Nucleotide sequence analysis --- RNA sequence --- Sequence, Nucleotide --- Nucleic acids --- Nucleotides --- Sequence alignment (Bioinformatics) --- Cloning, Molecular --- DNA cloning --- Gene cloning --- Cloning --- Genetic engineering --- Molecular genetics --- Clone cells --- Analysis --- ADN --- genes --- cloning --- PCR --- genetic engineering --- Séquence nucléotidique --- Analyse --- DNA.