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Gene Prediction: Methods and Protocols

This volume introduces software used for gene prediction with focus on eukaryotic genomes. The chapters in this book describe software and;

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Computational Biology

computing resources in order to solve problems on scales of magnitude far too great for human discernment. Research in computational biology often;

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Practical Bioinformatician, The

of computational prediction of protein cellular localization, and selected discussions of inference of protein function.* Overview of methods for;

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Practical Bioinformatician, The

of computational prediction of protein cellular localization, and selected discussions of inference of protein function.* Overview of methods for;

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Intelligent Computing Theories and Application

Expression Array Analysis; Systems Biology; Modeling, Simulation, and Optimization of Biological Systems; Intelligent Computing in Computational;

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Biomolecular Networks

book addresses the important need for a new set of computational tools to reveal essential biological mechanisms from a systems biology;

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Methods for Computational Gene Prediction

, computer science, and molecular biology is provided, making the book accessible to students and researchers from across the life and computational;

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Methods for Computational Gene Prediction

, computer science, and molecular biology is provided, making the book accessible to students and researchers from across the life and computational;

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Computational Systems Bioinformatics - Methods And Biomedical Applications

in computational biology, it focuses on recurrent themes in bioinformatics, biomedical applications, and future directions for research.;

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Data Analytics in Bioinformatics

Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine;

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Bioinformatics and Computational Biology

Bioinformatics and Computational Biology is a compendium of articles and papers that were presented at BIOCOMP '13, an international;

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Machine Learning in Bioinformatics

-based prediction of residue-level properties in proteins; probabilistic methods for long-range features in biosequences; and much more. Machine;

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Computational Methods for Understanding Riboswitches

. This volume covers computational prediction RNA structure and dynamics, including such topics as computational modeling of RNA secondary and;

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Methods and Applications of Crystal Structure Prediction

The prediction of crystal structures from first principles has been one of the grand challenges for computational methods in chemistry and;

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Transcriptomics and Gene Regulation

This volume focuses on modern computational and statistical tools for translational gene expression and regulation research to improve;

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Advanced Concepts and Applications

property prediction, an enumeration of compounds, scaffolds and functional groups in nature, computational methods for lead identification;

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Intelligent Computing Theories and Methodologies

; computational biology, protein structure and function prediction; genetic algorithms; artificial bee colony algorithms; swarm intelligence and;

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Intelligent Computing Theories and Methodologies

; computational biology, protein structure and function prediction; genetic algorithms; artificial bee colony algorithms; swarm intelligence and;

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Computational Methods for Data Evaluation and Assimilation

mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational;

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Computational Methods for Data Evaluation and Assimilation

mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational;

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Computational Structural Biology

of such computational methods in structural biology. It covers the impact of computational structural biology on protein structure prediction;

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Computational Advances in Bio and Medical Sciences

This book constitutes revised selected papers from the 9th International Conference on Computational Advances in Bio and Medical Sciences;

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Gene-Environment Interaction Analysis: Methods in Bioinformatics and Computational Biology

Gene-environment (G x E) interaction analysis is a statistical method for clarifying G x E interactions applicable to a phenotype or a;

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Prediction of Protein Structures, Functions, and Interactions

for predicting the functions of proteins that have been deduced by sequence analysis and lack experimental characterization. Prediction;

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Bioinformatics and Computational Biology

Informatics and Related Issues Protein Classification and Structure Prediction, Folding, and Computational Structural Biology + Drug Design Machine;

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Gene Expression Data Analysis

data. A large number of practical tools, systems and repositories that are useful for computational biologists to create, analyze and validate;

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Numerical Weather & Climate Prediction

This textbook provides a comprehensive yet accessible treatment of weather and climate prediction, for graduate students, researchers and;

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