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Algorithms in Bioinformatics - Theory and Implementation

variety of fields Algorithms in Bioinformatics: Theory and Implementation delivers a fulsome treatment of some of the main algorithms used to;

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Bioinformatics Algorithms

Bioinformatics Algorithms: Design and Implementation in Python provides a comprehensive book on many of the most important;

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Bioinformatics and RNA

therapeutics and drug discovery. Implementation of algorithms in a DotNet Framework with code and complete insight on the state-of-the-art and recent;

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Clustering in Bioinformatics and Drug Discovery

, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms. In the following chapters on;

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Clustering in Bioinformatics and Drug Discovery

, exploratory data analysis, clustering algorithms, different types of data, graph theory, and various clustering forms. In the following chapters on;

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Algorithms in Bioinformatics

in Saarbrucken, Germany, in September 2011. The 30 papers presented were carefully reviewed and selected from 77 submissions. They cover aspects;

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Bioinformatics: Databases and Algorithms

Bioinformatics: Databases and Algorithms has two features that distinguish it from others in this genre. First, it seeks to explain some;

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Implementation and Application of Automata

selected from 36 submissions. The papers cover all aspects of implementation, application, and theory of automata and related structures such as;

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Computing and Combinatorics

algorithms and data structures; algorithmic game theory and online algorithms; automata, languages, logic, and computability; combinatorics related;

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Computing and Combinatorics

submissions. The papers cover various topics including algorithms and data structures; algorithmic game theory; approximation algorithms and online;

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Pattern Discovery in Bioinformatics

an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the;

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Pattern Discovery in Bioinformatics

an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the;

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Handbook of Chemoinformatics Algorithms

chemoinformatics algorithms in a single source. After a historical perspective of the applications of algorithms and graph theory to chemical problems;

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Guide to Graph Algorithms

and complex network applications; includes full implementation details for the problems presented throughout the text; provides additional;

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Combinatorial Algorithms

geometry; graph drawing and labeling; graph theory.;

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5th International Symposium on Data Mining Applications

, algorithms, models, and theory.* Text Mining: Semantic analysis and mining text in Arabic, semi-structured, streaming, multimedia data.* Framework;

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Nature-Inspired Computation and Swarm Intelligence

with practical implementation. Nature-Inspired Computation and Swarm Intelligence: Algorithms, Theory and Applications is suitable for;

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Algorithms and Data Structures

Workshop on Algorithm Theory, is intended as a forum for researchers in the area of design and analysis of algorithms and data structures. WADS;

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Algorithms in Bioinformatics

in Atlanta, GA, USA, in September 2015. The 23 full papers presented were carefully reviewed and selected from 56 submissions. The selected papers;

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Intelligent Computing in Bioinformatics

; computational systems biology and medical informatics; biomedical informatics theory and methods; advances on bio-inspired computing; protein and gene;

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Algorithms in Bioinformatics

in Aarhus, Denmark. The 25 full papers together with 2 invited talks presented were carefully reviewed and selected from 54 submissions. The;

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Data Mining for Bioinformatics

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a;

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Data Mining for Bioinformatics

Covering theory, algorithms, and methodologies, as well as data mining technologies, Data Mining for Bioinformatics provides a;

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Distributed and Sequential Algorithms for Bioinformatics

This unique textbook/reference presents unified coverage of bioinformatics topics relating to both biological sequences and biological;

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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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An Introduction to Bioinformatics Algorithms

offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer;

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