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Deep Learning in Bioinformatics

, protein structure prediction, gene expression regulation, protein classification, biomedical image processing and diagnosis, biomolecule;

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Practical Bioinformatics

, database searches, protein analysis, data interpretation) to complement the straightforward and practical topics. The chapters are focused on DNA;

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Algorithmic And Artificial Intelligence Methods For Protein

An in-depth look at the latest research, methods, and applications in the field of protein bioinformatics This book presents the latest;

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Protein Bioinformatics

Protein Bioinformatics is a book which introduces the concept of protein bioinformatics and it covers the topics such as structure;

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Bioinformatics

. It aids in the sequencing and annotation of genomes and mutations, development of gene ontologies, analysis of gene and protein expression;

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Basic Applied Bioinformatics

practical guidance in bioinformatics and helps students to optimize parameters for data analysis and then to draw accurate conclusions from the;

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Bioinformatics

gap between biology and computer science, Bioinformatics: A Practical Approach assimilates current bioinformatics knowledge and tools relevant;

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Practical Protein Bioinformatics

This book describes more than 60 web-accessible computational tools for protein analysis and is totally practical, with detailed;

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Bioinformatics: A Practical Approach

gap between biology and computer science, Bioinformatics: A Practical Approach assimilates current bioinformatics knowledge and tools relevant;

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Applied Bioinformatics

This book introduces readers to the basic principles of bioinformatics and the practical application and utilization of computational tools;

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Bioinformatics Research and Applications

organized in topical sections named: next generation sequencing data analysis; protein-protein interactions and networks; protein and RNA structure;

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Bioinformatics

critical keys needed to unlock the information encoded in the flood of data generated by genome, protein structure, transcriptome and proteome;

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Protein Bioinformatics

every day. Scientists do this by analyzing and interpreting proteins, which are considered the task force of a gene. This single source;

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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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Bioinformatics

biology to analyze biological data. It also includes the study of protein structures, amino acid sequences and nucleotide sequences. Techniques;

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Bioinformatics Research

and protein bioinformatics for drug discovery.;

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Practical Bioinformatician, The

practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both;

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Practical Bioinformatician, The

practical introduction to bioinformatics for these computer scientists. The chapters are in-depth discussions by expert bioinformaticians on both;

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Structural Bioinformatics

This volume looks at the latest techniques used to perform comparative structure analyses, and predict and evaluate protein-ligand;

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An Introduction to Protein Informatics

Protein informatics is a newer name for an already existing discipline. It encompasses the techniques used in bioinformatics and molecular;

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Protein Structure Prediction

While most textbooks on bioinformatics focus on genetic algorithms and treat protein structure prediction only superficially, this course;

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The Proteomics Protocols Handbook

-translational modification. There are also readily reproducible methods for protein expression profiling, identifying protein-protein interactions, and;

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Introduction to Protein Structure Prediction

algorithms that are used to predict protein structure written by experts who participate in the structure prediction competition. The book also;

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Bioinformatics and Computational Biology

and Medical Applications, Tools and Systems, Health Informatics and Related Issues * Protein Classification and Structure Prediction;

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Protein Engineering

PROTEIN ENGINEERING discusses topics, such as introduction to proteins like proteases, insulin, transcription factors etc. and continues;

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Bioinformatics and Functional Genomics

sequencing, gene transcription, protein-protein interactions, etc. There has been rapid progress in these fields and their applications are finding;

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Bioinformatics

protein sequences. Techniques such as image and signal processing facilitate the extraction of useful results from large amounts of data. Besides;

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