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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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Data Mining for Bioinformatics

frameworks used for storing, analyzing, and extracting knowledge from large databases in the bioinformatics domains, including genomics and;

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Data Mining for Bioinformatics

frameworks used for storing, analyzing, and extracting knowledge from large databases in the bioinformatics domains, including genomics and;

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Structural Bioinformatics of Membrane Proteins

advances cover algorithms, databases and their applications to the subject. The increasing number of recently solved membrane protein;

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Genome Data Analysis

annotation, text mining of factual and literature databases, and integrated management of biomolecular databases. The textbook is primarily intended;

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Bioinformatics Database Systems

Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This;

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Bioinformatics Database Systems

Modern biological databases comprise not only data, but also sophisticated query facilities and bioinformatics data analysis tools. This;

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Algorithms and Data Structures

geometry, databases, graphics, and parallel and distributed computing.;

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Bioinformatics Challenges at the Interface of Biology and Computer Science

and computer science. It approaches bioinformatics from a unique perspective, highlighting interdisciplinary gaps that often trap the unwary;

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Bioinformatics

Bioinformatics brings computational methods to the analysis and processing of genomic data. Bioinformatics: Databases and Systems focuses;

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Bioinformatics

Bioinformatics brings computational methods to the analysis and processing of genomic data. Bioinformatics: Databases and Systems focuses;

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Beyond Databases, Architectures and Structures. Paving the Road to Smart Data Processing and Analysis

This book constitutes the refereed proceedings of the 15th International Conference entitled Beyond Databases, Architectures and Structures;

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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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Essential Bioinformatics

computational tools available to solve biological research problems. All key areas of bioinformatics are covered including biological databases;

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Bioinformatics for Comparative Proteomics

, databases, and software tools have been developed to support comparative proteomics study. In Bioinformatics for Comparative Proteomics, experts;

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Advances in Bioinformatics and Computational Biology

, including sequence analysis; motifs, and pattern matching; biological databases, data management, data integration, and data mining; biomedical text;

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Bioinformatics

basic practical knowledge about various databases and tools of Bioinformatics have been covered. This provides a perfect practical exposure for;

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Bioinformatics and RNA

This book offers a unique balance between a basic introductory knowledge of bioinformatics and a detailed study of algorithmic techniques;

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Text Book of Bioinformatics

advancement of databases, algorithms, computational and statistical techniques and theoryto solve formal and practical problems arising fromthe;

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Translational Bioinformatics Applications in Healthcare

Applications in Healthcare offers a detailed overview on concepts of TBI, biological and clinical databases, clinical informatics, and pertinent real;

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Devloping Bioinformatics Computer Skills

data. The book covers the Unix file system, building tools and databases for bioinformatics, computational approaches to biological problems;

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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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Handbook of Hidden Markov Models in Bioinformatics

then provides detailed information about various types of publicly available HMM databases, such as Pfam, PANTHER, COG, and metaSHARK. After;

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Handbook of Hidden Markov Models in Bioinformatics

then provides detailed information about various types of publicly available HMM databases, such as Pfam, PANTHER, COG, and metaSHARK. After;

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Handbook of Computational Molecular Biology

necessary to solve novel problems and manage the massive amounts of data housed in biological databases throughout the world. Divided into eight;

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Instant Notes Bioinformatics

analyses. The book begins by describing data generation and databases. Following this it takes us to the newer bioinformatics problems associated;

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Algorithms in Bioinformatics

discusses the problem of searching sequence databases. After introducing methods for aligning multiple biological sequences and genomes, the text;

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