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falls between a very elementary introduction to the subject, and an advanced monograph on the topic, and serves as a bridge between the two.;
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, challenges, and research results in the area of bioinformatics and RNA. The book offers a broad introduction to the explosively growing new;
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be used to solve a large number of practical problems in biology, and presents this material intuitively. An Introduction to Bioinformatics;
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bioinformatics problems, putting forward the best algorithms and showing how to implement them. The book focuses on the use of the Python programming;
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Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and;
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Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and;
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in a biological and medical context. Readers will also benefit from the inclusion of: A thorough introduction to biological evolution;
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algorithms and more efficient programs. This book provides an in-depth introduction to the most widely used methods and software.;
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Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field;
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This book is dedicated to the progress of bioinformatics. It discusses the various concepts, algorithms, modes and modules for;
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This book is dedicated to the progress of bioinformatics. It discusses the various concepts, algorithms, modes and modules for;
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used in the field. Python for Bioinformatics provides a clear introduction to the Python programming language and instructs beginners on the;
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This book constitutes the refereed proceedings of the 11th International Workshop on Algorithms in B;...
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teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied;
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teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied;
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networks, providing an in-depth analysis of cutting-edge distributed algorithms, as well as of relevant sequential algorithms. In addition to;
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The book provides an undergraduate (final year) introduction to bioinformatics focussing on two key areas, genomics and protein sequence;
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book useful to those working in the field. It offers an up-to-date account of many algorithmic aspects of chemoinformatics.;
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With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent;
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With a DVD of color figures, Clustering in Bioinformatics and Drug Discovery provides an expert guide on extracting the most pertinent;
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This volume provides an overview of RNA bioinformatics methodologies, including basic strategies to predict secondary and tertiary;
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science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural;
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This book is the first one specifically dedicated to the structural bioinformatics of membrane proteins. With a focus on membrane proteins;
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algorithms), reflecting on their use and abuse in bioinformatics. Bringing these disciplines together, this book is an essential read for those who;
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At last, here is a baseline book for anyone who is confused by cryptic computer programs, algorithms and formulae, but wants to learn about;
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algorithms to find solutions. The book is divided into three parts: Part One: Introduction to Metaheuristics and Parallelism, including an;
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cover a wide range of topics from networks to phylogenetic studies, sequence and genome analysis, comparative genomics, and RNA structure.;
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