Theory And Mathematical Methods In Bioinformatics
DOWNLOAD
Download Theory And Mathematical Methods In Bioinformatics PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Theory And Mathematical Methods In Bioinformatics book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Theory And Mathematical Methods In Bioinformatics
DOWNLOAD
Author : Shiyi Shen
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-01-26
Theory And Mathematical Methods In Bioinformatics written by Shiyi Shen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-01-26 with Science categories.
Bioinformatics is an interdisciplinary science which involves molecular bi- ogy, molecular chemistry, physics, mathematics, computational sciences, etc. Mostofthebooksonbiomathematicspublishedwithinthepasttenyearshave consistedofcollectionsofstandardbioinformaticsproblemsandinformational methods,andfocus mainly onthe logisticsofimplementing andmakinguse of various websites, databases, software packages and serving platforms. While these types of books do introduce some mathematical and computational methods alongside the software packages, they are lacking in a systematic and professional treatment of the mathematics behind these methods. It is signi?cant in the ?eld of bioinformatics that not only is the amount of data increasing exponentially, but collaboration is also both widening and deepening among biologists, chemists, physicists, mathematicians, and c- puter scientists. The sheer volume of problems and databases requires - searchers to continually develop software packages in order to process the huge amounts of data, utilizing the latest mathematical methods. The - tent of this book is to provide a professional and in-depth treatment of the mathematical topics necessary in the study of bioinformatics.
Mathematics Of Bioinformatics
DOWNLOAD
Author : Matthew He
language : en
Publisher: John Wiley & Sons
Release Date : 2011-03-16
Mathematics Of Bioinformatics written by Matthew He and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-03-16 with Computers categories.
Mathematics of Bioinformatics: Theory, Methods, and Applications provides a comprehensive format for connecting and integrating information derived from mathematical methods and applying it to the understanding of biological sequences, structures, and networks. Each chapter is divided into a number of sections based on the bioinformatics topics and related mathematical theory and methods. Each topic of the section is comprised of the following three parts: an introduction to the biological problems in bioinformatics; a presentation of relevant topics of mathematical theory and methods to the bioinformatics problems introduced in the first part; an integrative overview that draws the connections and interfaces between bioinformatics problems/issues and mathematical theory/methods/applications.
Introduction To Mathematical Methods In Bioinformatics
DOWNLOAD
Author : Alexander Isaev
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-09-19
Introduction To Mathematical Methods In Bioinformatics written by Alexander Isaev and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-09-19 with Science categories.
This book looks at the mathematical foundations of the models currently in use. All existing books on bioinformatics are software-orientated and they concentrate on computer implementations of mathematical models of biology. This book is unique in the sense that it looks at the mathematical foundations of the models, which are crucial for correct interpretation of the outputs of the models.
Theory And Mathematical Methods For Bioinformatics 1 E
DOWNLOAD
Author : Shen
language : en
Publisher:
Release Date : 2010-12-01
Theory And Mathematical Methods For Bioinformatics 1 E written by Shen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-12-01 with categories.
This monograph addresses, in a systematic and pedagogical manner, the mathematical methods and the algorithms required to deal with the molecularly based problems of bioinformatics. The book will be useful to students, research scientists and practitioners of bioinformatics and related fields, especially those who are interested in the underlying mathematical methods and theory. Among the methods presented in the book, prominent attention is given to pair-wise and multiple sequence alignment algorithms, stochastic models of mutations, modulus structure theory and protein configuration analysis. Strong links to the molecular structures of proteins, DNA and other biomolecules and their analyses are developed. In particular, for proteins an in-depth exposition of secondary structure prediction methods should be a valuable tool in both molecular biology and in applications to rational drug design. The book can also be used as a textbook and for this reason most of the chapters include exercises and problems at the level of a graduate program in bioinformatics.
Pattern Discovery In Bioinformatics
DOWNLOAD
Author : Laxmi Parida
language : en
Publisher: CRC Press
Release Date : 2007-07-04
Pattern Discovery In Bioinformatics written by Laxmi Parida and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-04 with Computers categories.
The computational methods of bioinformatics are being used more and more to process the large volume of current biological data. Promoting an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the tools to study regularities in biological data. Taking a systema
Sequence Comparison
DOWNLOAD
Author : Kun-Mao Chao
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-11-27
Sequence Comparison written by Kun-Mao Chao and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-27 with Computers categories.
Biomolecular sequence comparison is the origin of bioinformatics. This book gives a complete in-depth treatment of the study of sequence comparison. A comprehensive introduction is followed by a focus on alignment algorithms and techniques, proceeded by a discussion of the theory. The book examines alignment methods and techniques, features a new issue of sequence comparison - the spaced seed technique, addresses several new flexible strategies for coping with various scoring schemes, and covers the theory on the significance of high-scoring segment pairs between two unalignment sequences. Useful appendices on basic concepts in molecular biology, primer in statistics and software for sequence alignment are included in this reader-friendly text, as well as chapter-ending exercise and research questions A state-of-the-art study of sequence alignment and homology search, this is an ideal reference for advanced students studying bioinformatics and will appeal to biologists who wish to know how to use homology search tools.
Mathematical Methods In The Earth And Environmental Sciences
DOWNLOAD
Author : Adrian Burd
language : en
Publisher: Cambridge University Press
Release Date : 2019-04-18
Mathematical Methods In The Earth And Environmental Sciences written by Adrian Burd and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-18 with Mathematics categories.
An accessible introduction to the mathematical methods essential for understanding processes in the Earth and environmental sciences.
Mathematical Modeling Of Biological Processes
DOWNLOAD
Author : Avner Friedman
language : en
Publisher: Springer
Release Date : 2014-09-19
Mathematical Modeling Of Biological Processes written by Avner Friedman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-19 with Mathematics categories.
This book on mathematical modeling of biological processes includes a wide selection of biological topics that demonstrate the power of mathematics and computational codes in setting up biological processes with a rigorous and predictive framework. Topics include: enzyme dynamics, spread of disease, harvesting bacteria, competition among live species, neuronal oscillations, transport of neurofilaments in axon, cancer and cancer therapy, and granulomas. Complete with a description of the biological background and biological question that requires the use of mathematics, this book is developed for graduate students and advanced undergraduate students with only basic knowledge of ordinary differential equations and partial differential equations; background in biology is not required. Students will gain knowledge on how to program with MATLAB without previous programming experience and how to use codes in order to test biological hypothesis.
Mathematical Methods For Knowledge Discovery And Data Mining
DOWNLOAD
Author : Giovanni Felici
language : en
Publisher: IGI Global Snippet
Release Date : 2008
Mathematical Methods For Knowledge Discovery And Data Mining written by Giovanni Felici and has been published by IGI Global Snippet this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008 with Business & Economics categories.
Annotation The field of data mining has seen a demand in recent years for the development of ideas and results in an integrated structure. Mathematical Methods for Knowledge Discovery & Data Mining focuses on the mathematical models and methods that support most data mining applications and solution techniques, covering such topics as association rules; Bayesian methods; data visualization; kernel methods; neural networks; text, speech, and image recognition; and many others. This Premier Reference Source is an invaluable resource for scholars and practitioners in the fields of biomedicine, engineering, finance and insurance, manufacturing, marketing, performance measurement, and telecommunications.
Mathematical Methods In Interdisciplinary Sciences
DOWNLOAD
Author : Snehashish Chakraverty
language : en
Publisher: John Wiley & Sons
Release Date : 2020-06-15
Mathematical Methods In Interdisciplinary Sciences written by Snehashish Chakraverty and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-15 with Mathematics categories.
Brings mathematics to bear on your real-world, scientific problems Mathematical Methods in Interdisciplinary Sciences provides a practical and usable framework for bringing a mathematical approach to modelling real-life scientific and technological problems. The collection of chapters Dr. Snehashish Chakraverty has provided describe in detail how to bring mathematics, statistics, and computational methods to the fore to solve even the most stubborn problems involving the intersection of multiple fields of study. Graduate students, postgraduate students, researchers, and professors will all benefit significantly from the author's clear approach to applied mathematics. The book covers a wide range of interdisciplinary topics in which mathematics can be brought to bear on challenging problems requiring creative solutions. Subjects include: Structural static and vibration problems Heat conduction and diffusion problems Fluid dynamics problems The book also covers topics as diverse as soft computing and machine intelligence. It concludes with examinations of various fields of application, like infectious diseases, autonomous car and monotone inclusion problems.