Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology

Download Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 1071626175
Total Pages : 457 pages
Book Rating : 4.77/5 ( download)

DOWNLOAD NOW!


Book Synopsis Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology by : Kumar Selvarajoo

Download or read book Computational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology written by Kumar Selvarajoo and published by Springer Nature. This book was released on 2022-10-13 with total page 457 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Systems and Synthetic Metabolic Engineering

Download Systems and Synthetic Metabolic Engineering PDF Online Free

Author :
Publisher : Academic Press
ISBN 13 : 0128217529
Total Pages : 294 pages
Book Rating : 4.28/5 ( download)

DOWNLOAD NOW!


Book Synopsis Systems and Synthetic Metabolic Engineering by : Yanfeng Liu

Download or read book Systems and Synthetic Metabolic Engineering written by Yanfeng Liu and published by Academic Press. This book was released on 2020-07-10 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems and Synthetic Metabolic Engineering provides an overview of the development of metabolic engineering within medicine that is fueled by systems and synthetic biology. These newly developed, successful strategies of metabolic engineering guide the audience on how to propose and test proper strategies for metabolic engineering research. In addition to introductory, regulatory and challenges in the field, the book also covers dynamic control and autonomous regulation to control cell metabolism, along with computational modeling and industrial applications. The book is written by leaders in the field, making it ideal for synthetic biologists, researchers, students and anyone working in this area. Discusses the current progress of metabolic engineering, focusing on systems biology and synthetic biology Covers introductory, regulatory, strategies, production and challenges in the field Written technically for synthetic biologists, researchers, students, industrialists, policymakers and stakeholders

Metabolic Pathway Design

Download Metabolic Pathway Design PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 3030298655
Total Pages : 168 pages
Book Rating : 4.54/5 ( download)

DOWNLOAD NOW!


Book Synopsis Metabolic Pathway Design by : Pablo Carbonell

Download or read book Metabolic Pathway Design written by Pablo Carbonell and published by Springer Nature. This book was released on 2019-11-05 with total page 168 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents solid tools for in silico engineering biology, offering students a step-by-step guide to mastering the smart design of metabolic pathways. The first part explains the Design-Build-Test-Learn-cycle engineering approach to biology, discussing the basic tools to model biological and chemistry-based systems. Using these basic tools, the second part focuses on various computational protocols for metabolic pathway design, from enzyme selection to pathway discovery and enumeration. In the context of industrial biotechnology, the final part helps readers understand the challenges of scaling up and optimisation. By working with the free programming language Scientific Python, this book provides easily accessible tools for studying and learning the principles of modern in silico metabolic pathway design. Intended for advanced undergraduates and master’s students in biotechnology, biomedical engineering, bioinformatics and systems biology students, the introductory sections make it also useful for beginners wanting to learn the basics of scientific coding and find real-world, hands-on examples.

Systems Metabolic Engineering

Download Systems Metabolic Engineering PDF Online Free

Author :
Publisher : Springer Science & Business Media
ISBN 13 : 9400745346
Total Pages : 391 pages
Book Rating : 4.46/5 ( download)

DOWNLOAD NOW!


Book Synopsis Systems Metabolic Engineering by : Christoph Wittmann

Download or read book Systems Metabolic Engineering written by Christoph Wittmann and published by Springer Science & Business Media. This book was released on 2012-06-15 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems Metabolic Engineering is changing the way microbial cell factories are designed and optimized for industrial production. Integrating systems biology and biotechnology with new concepts from synthetic biology enables the global analysis and engineering of microorganisms and bioprocesses at super efficiency and versatility otherwise not accessible. Without doubt, systems metabolic engineering is a major driver towards bio-based production of chemicals, materials and fuels from renewables and thus one of the core technologies of global green growth. In this book, Christoph Wittmann and Sang-Yup Lee have assembled the world leaders on systems metabolic engineering and cover the full story – from genomes and networks via discovery and design to industrial implementation practises. This book is a comprehensive resource for students and researchers from academia and industry interested in systems metabolic engineering. It provides us with the fundaments to targeted engineering of microbial cells for sustainable bio-production and stimulates those who are interested to enter this exiting research field.

An Introduction to Computational Systems Biology

Download An Introduction to Computational Systems Biology PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 0429944527
Total Pages : 359 pages
Book Rating : 4.29/5 ( download)

DOWNLOAD NOW!


Book Synopsis An Introduction to Computational Systems Biology by : Karthik Raman

Download or read book An Introduction to Computational Systems Biology written by Karthik Raman and published by CRC Press. This book was released on 2021-05-30 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emphasises a hands-on approach to modelling Strong emphasis on coding and software tools for systems biology Covers the entire spectrum of modelling, from static networks, to dynamic models Thoughtful exercises to test and enable student understanding of concepts Current chapters on exciting new developments like whole-cell modelling and community modelling

Systems Biology

Download Systems Biology PDF Online Free

Author :
Publisher : Nova Science Publishers
ISBN 13 : 9781633215887
Total Pages : 0 pages
Book Rating : 4.81/5 ( download)

DOWNLOAD NOW!


Book Synopsis Systems Biology by : Bor-Sen Chen

Download or read book Systems Biology written by Bor-Sen Chen and published by Nova Science Publishers. This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text not only describes the current developments in systems biology, systems synthetic biology, and systems metabolic engineering for engineering and biology researchers but also discusses challenges and future prospects for systems biology and the concept of systems biology as an integrated platform for bioinformatics, systems synthetic biology, and systems metabolic engineering.

Machine Learning and Systems Biology in Genomics and Health

Download Machine Learning and Systems Biology in Genomics and Health PDF Online Free

Author :
Publisher : Springer Nature
ISBN 13 : 9811659931
Total Pages : 239 pages
Book Rating : 4.35/5 ( download)

DOWNLOAD NOW!


Book Synopsis Machine Learning and Systems Biology in Genomics and Health by : Shailza Singh

Download or read book Machine Learning and Systems Biology in Genomics and Health written by Shailza Singh and published by Springer Nature. This book was released on 2022-02-04 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the application of machine learning in genomics. Machine Learning offers ample opportunities for Big Data to be assimilated and comprehended effectively using different frameworks. Stratification, diagnosis, classification and survival predictions encompass the different health care regimes representing unique challenges for data pre-processing, model training, refinement of the systems with clinical implications. The book discusses different models for in-depth analysis of different conditions. Machine Learning techniques have revolutionized genomic analysis. Different chapters of the book describe the role of Artificial Intelligence in clinical and genomic diagnostics. It discusses how systems biology is exploited in identifying the genetic markers for drug discovery and disease identification. Myriad number of diseases whether be infectious, metabolic, cancer can be dealt in effectively which combines the different omics data for precision medicine. Major breakthroughs in the field would help reflect more new innovations which are at their pinnacle stage. This book is useful for researchers in the fields of genomics, genetics, computational biology and bioinformatics.

Metabolic Pathway Engineering

Download Metabolic Pathway Engineering PDF Online Free

Author :
Publisher : CRC Press
ISBN 13 : 1000260542
Total Pages : 116 pages
Book Rating : 4.40/5 ( download)

DOWNLOAD NOW!


Book Synopsis Metabolic Pathway Engineering by : Jean F. Challacombe

Download or read book Metabolic Pathway Engineering written by Jean F. Challacombe and published by CRC Press. This book was released on 2021-07-14 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Metabolic systems engineering combines the tools and approaches of systems biology, synthetic biology, and evolutionary engineering. This book reviews studies on metabolism, from the earliest work of Lavoisier and Buchner to current cutting-edge research in metabolic systems engineering. This technology has been used in bioengineering applications to create high-performing microbes and plants that produce important chemicals, pharmaceuticals, crops, and other natural products. Current applications include optimizing metabolic pathways to enhance degradation of biomass for biofuel production and accelerated processing of environmental waste products and contaminants. The book includes examples to illustrate the applications of this technology in the optimization of metabolic pathways to create robust industrial strains as well as in the engineering of biological processes involving health and diseases of humans, animals, and plants. Written by a seasoned computational biologist with many years of experience in genomics, bioinformatics, and systems biology, this book will appeal to anyone interested in metabolic systems analysis and metabolic pathway engineering.

Systems Metabolic Engineering

Download Systems Metabolic Engineering PDF Online Free

Author :
Publisher : Springer
ISBN 13 : 9789400745353
Total Pages : 388 pages
Book Rating : 4.54/5 ( download)

DOWNLOAD NOW!


Book Synopsis Systems Metabolic Engineering by : Christoph Wittmann

Download or read book Systems Metabolic Engineering written by Christoph Wittmann and published by Springer. This book was released on 2012-06-15 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems Metabolic Engineering is changing the way microbial cell factories are designed and optimized for industrial production. Integrating systems biology and biotechnology with new concepts from synthetic biology enables the global analysis and engineering of microorganisms and bioprocesses at super efficiency and versatility otherwise not accessible. Without doubt, systems metabolic engineering is a major driver towards bio-based production of chemicals, materials and fuels from renewables and thus one of the core technologies of global green growth. In this book, Christoph Wittmann and Sang-Yup Lee have assembled the world leaders on systems metabolic engineering and cover the full story – from genomes and networks via discovery and design to industrial implementation practises. This book is a comprehensive resource for students and researchers from academia and industry interested in systems metabolic engineering. It provides us with the fundaments to targeted engineering of microbial cells for sustainable bio-production and stimulates those who are interested to enter this exiting research field.

Machine Learning in Bioinformatics

Download Machine Learning in Bioinformatics PDF Online Free

Author :
Publisher : John Wiley & Sons
ISBN 13 : 0470397411
Total Pages : 476 pages
Book Rating : 4.11/5 ( download)

DOWNLOAD NOW!


Book Synopsis Machine Learning in Bioinformatics by : Yanqing Zhang

Download or read book Machine Learning in Bioinformatics written by Yanqing Zhang and published by John Wiley & Sons. This book was released on 2009-02-23 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to machine learning methods and their applications to problems in bioinformatics Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. From an internationally recognized panel of prominent researchers in the field, Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics. Coverage includes: feature selection for genomic and proteomic data mining; comparing variable selection methods in gene selection and classification of microarray data; fuzzy gene mining; sequence-based prediction of residue-level properties in proteins; probabilistic methods for long-range features in biosequences; and much more. Machine Learning in Bioinformatics is an indispensable resource for computer scientists, engineers, biologists, mathematicians, researchers, clinicians, physicians, and medical informaticists. It is also a valuable reference text for computer science, engineering, and biology courses at the upper undergraduate and graduate levels.