Matlab In Bioscience And Biotechnology

MATLAB® in bioscience and biotechnology 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 some specific area, but none have been designed especially for such a wide, interdisciplinary, and topical area as bioengineering. Thus, in this book, Matlab is presented with examples and applications to various school-level and advanced bioengineering 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. This is the first book intended as a manual introducing biologists and other biotechnology engineers to work with Matlab It is suitable for beginners and inexperienced users; however, applications of Matlab to advanced problems such as the Monte Carlo method, curve fitting, and reliable machine diagnostics make the book relevant to university teachers as well The book is different in that it assumes a modest mathematical background for the reader and introduces the mathematical or technical concepts with a somewhat traditional approach; Matlab is then used as a tool for subsequent computer solution

This e-book provides readers a short introductory MATLAB® course oriented towards various collaborative areas of biotechnology and bioscience. The text concentrates on MATLAB® fundamentals and gives examples of its application for various problems in computational biology, molecular biology, biokinetics, biomedicine, bioinformatics, and biotechnology. MATLAB® is presented with examples and applications to various school-level and advanced life science / bioengineering problems - from growing populations of microorganisms and population dynamics, reaction kinetics and reagent concentrations, predator-prey models, to data fitting and time series analysis. The book is divided into 6 chapters containing material carefully selected and tailored to teaching several groups of biotechnology students. The topics are presented in a manner that allows readers to proceed sequentially on the strength of the preceding material. Primary MATLAB® for Life Sciences: A Guide for Beginners is essentially a concise and comprehensive text that provides an easy grasp and to-the-point access to the MATLAB® tool to the community of life sciences and bioengneering undergraduates and specialists.

Annotation This e-book provides readers a short introductory MATLAB® course oriented towards various collaborative areas of biotechnology and bioscience. the text concentrates on MATLAB® fundamentals and gives examples of its application for various problems in computational biology, molecular biology, biokinetics, biomedicine, bioinformatics, and biotechnology. MATLAB® is presented with examples and applications to various school-level and advanced life science / bioengineering problems - from growing populations of microorganisms and population dynamics, reaction kinetics and reagent concentrations, predator-prey models, to data fitting and time series analysis. The book is divided into 6 chapters containing material carefully selected and tailored to teaching several groups of biotechnology students. the topics are presented in a manner that allows readers to proceed sequentially on the strength of the preceding material. Primary MATLAB® for Life Sciences: a Guide for Beginners is essentially a concise and comprehensive text that provides an easy grasp and to-the-point access to the MATLAB® tool to the community of life sciences and bioengneering undergraduates and specialists.

This e-book provides readers a short introductory MATLAB� course oriented towards various collaborative areas of biotechnology and bioscience. The text concentrates on MATLAB� fundamentals and gives examples of its application for various problems in comp

Biotechnology is an expansive field incorporating expertise in both the life science and engineering disciplines. In biotechnology, the scientist is concerned with developing the most favourable biocatalysts, while the engineer is directed towards process performance, defining conditions and strategies that will maximize the production potential of the biocatalyst. Increasingly, the synergistic effect of the contributions of engineering and life sciences is recognised as key to the translation of new bioproducts from the laboratory bench to commercial bioprocess. Fundamental to the successful realization of the bioprocess is a need for process engineers and life scientists competent in evaluating biological systems from a cross-disciplinary viewpoint. Bioprocess engineering aims to generate core competencies through an understanding of the complementary biotechnology disciplines and their interdependence, and an appreciation of the challenges associated with the application of engineering principles in a life science context. Initial chapters focus on the microbiology, biochemistry and molecular biology that underpin biocatalyst potential for product accumulation. The following chapters develop kinetic and mass transfer principles that quantify optimum process performance and scale up. The text is wide in scope, relating to bioprocesses using bacterial, fungal and enzymic biocatalysts, batch, fed-batch and continuous strategies and free and immobilised configurations. Details the application of chemical engineering principles for the development, design, operation and scale up of bioprocesses Details the knowledge in microbiology, biochemistry and molecular biology relevant to bioprocess design, operation and scale up Discusses the significance of these life sciences in defining optimum bioprocess performance

MATLAB® in Quality Assurance Sciences fills a gap in the highly topical field of quality assurance (QA). It is a compact guide for students, engineers, and scientists in this field. It concentrates on MATLAB® fundamentals with examples of application to a wide range of current problems from general, nano and bio-technology, and statistical control, to medicine and industrial management. Examples cover both the school and advanced level; comprising calculations of total quality management, six sigma, time series, process improvement, metrology, quality control, human factors in quality assurance, measurement and testing techniques, quality project and function management, and customer satisfaction. This book covers key topics, including: the basics of software with examples; graphics and representations; numerical computation, scripts and functions for QA calculations; ODE and PDEPE solvers applied to QA problems; curve fitting and time series tool interfaces in calculations of quality; and statistics calculations applied to quality testing. Includes MATLAB® fundamentals, matrices, arrays, general graphics and specialized plots in quality assurance problems, script files, ordinary and partial differential equations Gives calculation of six sigma, total quality management, time series forecasting, reliability, process improvement, metrology, quality control and assurance, measurement and testing techniques Provides tools for graphical presentation, basic and special statistics and testing, ordinary and partial differential solvers, and fitting tools

This monograph offers a comprehensive guide to good research practices and mindsets, covering a wide range of topics across 8 chapters. Readers will find numerous themes and strategies that can help them develop their research skills and achieve their objectives, from effective proposal writing to stress management and upskilling. This book explains the purpose, process, tips, and mistakes of writing proposals, theses, articles, and reviews in clear and straightforward language, allowing readers to develop good research plans. By applying the advice and insights offered in this book, students and researchers can improve the quality of their work, cultivate research integrity, and develop good publication plans, write well, and reduce rejection rates. Research outputs will be more likely to be of high quality if students and researchers are encouraged to cultivate these pieces of advice. The focus of the book is not solely on the outcomes of research. Rather, it also delves into mindset, habits, adaptability, time management, stress management, recent tools for upskilling, planning, and execution. Throughout the book, the author seeks to instill a growth mindset in the readers, encouraging them to develop positive research habits and behaviors. KPIs, particularly publications, shall not be used as a reason to erode research integrity and ethnicity; therefore, plagiarism, self-citation, falsifying data, exaggerating findings, authorship in publications, the use of AI tools, CRediT, and COPE are discussed. This book contains interviews with high-profile researchers, top management at institutions, policy advisers, etc., whose opinions and advice the readers will find valuable. Overall, this all-in-one guide is an essential resource for postgraduate students, post-doctoral fellows, and academics who are struggling to find a survival strategy in the rapidly changing research environment. The book assists readers in developing right mindset, planning their research and publications, and in achieving their predetermined objectives.

With the appearance of methods for the sequencing of genomes and less expensive next generation sequencing methods, we face rapid advancements of the -omics technologies and plant biology studies: reverse and forward genetics, functional genomics, transcriptomics, proteomics, metabolomics, the movement at distance of effectors and structural biology. From plant genomics to plant biotechnology reviews the recent advancements in the post-genomic era, discussing how different varieties respond to abiotic and biotic stresses, understanding the epigenetic control and epigenetic memory, the roles of non-coding RNAs, applicative uses of RNA silencing and RNA interference in plant physiology and in experimental transgenics and plants modified to specific aims. In the forthcoming years these advancements will support the production of plant varieties better suited to resist biotic and abiotic stresses, for food and non-food applications. This book covers these issues, showing how such technologies are influencing the plant field in sectors such as the selection of plant varieties and plant breeding, selection of optimum agronomic traits, stress-resistant varieties, improvement of plant fitness, improving crop yield, and non-food applications in the knowledge based bio-economy. Discusses a broad range of applications: the examples originate from a variety of sectors (including in field studies, breeding, RNA regulation, pharmaceuticals and biotech) and a variety of scientific areas (such as bioinformatics, -omics sciences, epigenetics, and the agro-industry) Provides a unique perspective on work normally performed 'behind closed doors'. As such, it presents an opportunity for those within the field to learn from each other, and for those on the 'outside' to see how different groups have approached key problems Highlights the criteria used to compare and assess different approaches to solving problems. Shows the thinking process, practical limitations and any other considerations, aiding in the understanding of a deeper approach