Systems Bioinformatics - An Engineering

EBook Description: 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.

Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field. Written specifically for a life science audience, the basics of bioinformatics are explained, followed by discussions of the state-of-the-art computational tools available to solve biological research problems. All key areas of bioinformatics are covered including biological databases, sequence alignment, genes and promoter prediction, molecular phylogenetics, structural bioinformatics, genomics and proteomics. The book emphasizes how computational methods work and compares the strengths and weaknesses of different methods. This balanced yet easily accessible text will be invaluable to students who do not have sophisticated computational backgrounds. Technical details of computational algorithms are explained with a minimum use of mathematical formulae; graphical illustrations are used in their place to aid understanding. The effective synthesis of existing literature as well as in-depth and up-to-date coverage of all key topics in bioinformatics make this an ideal textbook for all bioinformatics courses taken by life science students and for researchers wishing to develop their knowledge of bioinformatics to facilitate their own research.

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