Matlab in bioscience and biotechnology / Leonid Burstein

Por: Burstein, LeonidTipo de material: TextoTextoSeries Pharma, biotech and bioscience : science, technology and business ; 8.Detalles de publicación: Oxford : Biohelthcare, 2011 Descripción: XVIII, 230 p. : il.; 24 cmISBN: 9781907568046Tema(s): Biotecnología | Ciencias de la vida | MATLABResumen: This book presents an introductory Matlab course oriented towards various collaborative areas of biotechnology and bioscience. It concentrates on Matlab fundamentals and gives examples of its application to a wide range of current bioengineering problems in computational biology, molecular biology, bio-kinetics, biomedicine, bioinformatics, and biotechnology. In the last decade Matlab has been presented to students as the first computer program they learn. Consequently, many non-programmer students, engineers and scientists have come to regard it as user-friendly and highly convenient in solving their specific problems. Numerous books are available on programming in Matlab for engineers in general, irrespective of their specialization, or for those specializing in somespecific area, but none have been designed especially for such a wide, interdisciplinary, and topical area as bioengineering. Thus, in this book, Matlab ispresented with examples and applications to various school-level and advancedbioengineering problems - from growing populations of microorganisms and population dynamics, reaction kinetics and reagent concentrations, predator-prey models, mass-transfer and flow problems, to sequence analysis and sequence statistics.INDICE: Introduction. Matlab basics starting with Matlab (Matlab desktop and Windows; elementary functions and interactive calculations; help and help window; variables and commands for management of variables; input and output commands); vectors, matrices and arrays (generation of vectors and matrices and vector and matrix operators; element-by-element operations; special matrices; examples of matrix and array applications); flow control (relational and logical operators; conditional statements; loops in Matlab; application to bio-calculations); problems. Matlab graphics generation of XY plots; two and more curves on single 2D plot; superimpose option; generation of several graphs on a single page; formatting of 2D plots; generation of 3D plots; lines in 3D plots; meshes in 3D plots; surfaces in 3D plots; formatting and rotation of 3D plots;special 2D and 3D plots - errorbar, histogram, polar, sphere and cylinder plots; problems. Script and function files what is a script and a function file?;creating, saving and running of script file; functions in Matlab; generation,saving and running of function file; global and local variables; comparison of script and function files; applications to bio-calculations; problems. Ordinary differential equation solvers solving ODE with Matlab (ODE solver for initial value problem; BVP solver for boundary value problem); Laplace Transform and symbolic solving of differential equations; examples of ODE applications; problems. Curve fitting and time series in population dynamic problem Matlab curve fitting tool (basic fitting interface; custom fitting with curve fitting toolbox); Matlab time series tools (time series interface; trend and seasonal components defining); examples of cu
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This book presents an introductory Matlab course oriented towards various collaborative areas of biotechnology and bioscience. It concentrates on Matlab fundamentals and gives examples of its application to a wide range of current bioengineering problems in computational biology, molecular biology, bio-kinetics, biomedicine, bioinformatics, and biotechnology. In the last decade Matlab has been presented to students as the first computer program they learn. Consequently, many non-programmer students, engineers and scientists have come to regard it as user-friendly and highly convenient in solving their specific problems. Numerous books are available on programming in Matlab for engineers in general, irrespective of their specialization, or for those specializing in somespecific area, but none have been designed especially for such a wide, interdisciplinary, and topical area as bioengineering. Thus, in this book, Matlab ispresented with examples and applications to various school-level and advancedbioengineering problems - from growing populations of microorganisms and population dynamics, reaction kinetics and reagent concentrations, predator-prey models, mass-transfer and flow problems, to sequence analysis and sequence statistics.INDICE: Introduction. Matlab basics starting with Matlab (Matlab desktop and Windows; elementary functions and interactive calculations; help and help window; variables and commands for management of variables; input and output commands); vectors, matrices and arrays (generation of vectors and matrices and vector and matrix operators; element-by-element operations; special matrices; examples of matrix and array applications); flow control (relational and logical operators; conditional statements; loops in Matlab; application to bio-calculations); problems. Matlab graphics generation of XY plots; two and more curves on single 2D plot; superimpose option; generation of several graphs on a single page; formatting of 2D plots; generation of 3D plots; lines in 3D plots; meshes in 3D plots; surfaces in 3D plots; formatting and rotation of 3D plots;special 2D and 3D plots - errorbar, histogram, polar, sphere and cylinder plots; problems. Script and function files what is a script and a function file?;creating, saving and running of script file; functions in Matlab; generation,saving and running of function file; global and local variables; comparison of script and function files; applications to bio-calculations; problems. Ordinary differential equation solvers solving ODE with Matlab (ODE solver for initial value problem; BVP solver for boundary value problem); Laplace Transform and symbolic solving of differential equations; examples of ODE applications; problems. Curve fitting and time series in population dynamic problem Matlab curve fitting tool (basic fitting interface; custom fitting with curve fitting toolbox); Matlab time series tools (time series interface; trend and seasonal components defining); examples of cu

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