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Bioinformatics: Databases and Algorithms

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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Bioinformatics and RNA

, 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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An Introduction to Bioinformatics Algorithms

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 Algorithms

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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Introduction to Machine Learning and Bioinformatics

Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and;

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Introduction to Machine Learning and Bioinformatics

Lucidly Integrates Current Activities Focusing on both fundamentals and recent advances, Introduction to Machine Learning and;

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Algorithms in Bioinformatics - Theory and Implementation

in a biological and medical context. Readers will also benefit from the inclusion of: A thorough introduction to biological evolution;

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Statistics for Bioinformatics

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

Essential Bioinformatics is a concise yet comprehensive textbook of bioinformatics, which provides a broad introduction to the entire field;

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Latest Research in Bioinformatics

This book is dedicated to the progress of bioinformatics. It discusses the various concepts, algorithms, modes and modules for;

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Latest Research in Bioinformatics

This book is dedicated to the progress of bioinformatics. It discusses the various concepts, algorithms, modes and modules for;

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Python For Bioinformatics

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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Algorithms in Bioinformatics

This book constitutes the refereed proceedings of the 11th International Workshop on Algorithms in B;...

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Algorithms in Bioinformatics

teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied;

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Algorithms in Bioinformatics

teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied;

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Distributed and Sequential Algorithms for Bioinformatics

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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Introduction to Bioinformatics

The book provides an undergraduate (final year) introduction to bioinformatics focussing on two key areas, genomics and protein sequence;

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Handbook of Chemoinformatics Algorithms

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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Clustering in Bioinformatics and Drug Discovery

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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Clustering in Bioinformatics and Drug Discovery

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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RNA Bioinformatics

This volume provides an overview of RNA bioinformatics methodologies, including basic strategies to predict secondary and tertiary;

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Natural Computing Algorithms

science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural;

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Structural Bioinformatics of Membrane Proteins

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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Bioinformatics Challenges at the Interface of Biology and Computer Science

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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Applied Bioinformatics

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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Parallel Metaheuristics

algorithms to find solutions. The book is divided into three parts: Part One: Introduction to Metaheuristics and Parallelism, including an;

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Algorithms in Bioinformatics

cover a wide range of topics from networks to phylogenetic studies, sequence and genome analysis, comparative genomics, and RNA structure.;

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