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Essentials of Bioinformatics, Volume II: In Silico Life Sciences

experimental outcomes. Our second title of this volume set In Silico Life Sciences: Medicine provides hands-on experience in analyzing high throughput;

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Essentials of Bioinformatics, Volume III

experimental outcomes. The third volume is titled In Silico Life Sciences: Agriculture. It focuses on plant genetic, genomic, transcriptomic, proteomic;

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Medical Bioinformatics and Biochemistry (Diabormatics)

of medical and life sciences. The development in genomic sequencing and in silico biology has provided the data needed to accomplish comparisons;

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Your Passport to a Career in Bioinformatics

is currently transitioning from research to vocation and avocation. Further, it extols the virtues of in silico for bioinformatics predictions, as it;

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Textbook Bioinformatics

Bioinformatics links content from the life sciences with mathematical concepts from computer science and is significantly involved in the;

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Fundamentals of Bioinformatics

Bioinformatics is an upcoming discipline of Life Sciences. It is an integration of computer science, and mathematical and statistical;

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In Silico Drug Design

In Silico Drug Design: Repurposing Techniques and Methodologies explores the application of computational tools that can be utilized;

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Bioinformatics

developing and expanding field of bioinformatics. Bioinformatics, Volume II: Structure, Function, and Applications, Second Edition is comprised;

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Basic Applied Bioinformatics

An accessible guide that introduces students in all areas of life sciences to bioinformatics Basic Applied Bioinformatics provides a;

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Bioinformatics for Systems Biology

mathematician with a common framework. Only by linking the groups together may the true life sciences revolution move forward.;

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Bioinformatics for Comparative Proteomics

With the rapid development of proteomic technologies in the life sciences and in clinical applications, many bioinformatics methodologies;

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Bioinformatics Programming Using Python

you through undergraduate courses in computer science, biology, and other life sciences. With the level of detail this book provides, it's;

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Computational Intelligence Methods for Bioinformatics and Biostatistics

in bioinformatics, biostatistics, systems and synthetic biology, medical informatics, computational approaches to life sciences in general.;

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Textbook of Bioinformatics, A: Information-Theoretic Perspectives of Bioengineering and Biological Complexes

; (ii) a collection of annotations on the analytics of biomolecular sequences, with pertinent details presented on biomolecular informatics;

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Textbook of Bioinformatics, A: Information-Theoretic Perspectives of Bioengineering and Biological Complexes

; (ii) a collection of annotations on the analytics of biomolecular sequences, with pertinent details presented on biomolecular informatics;

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Bioinformatics and Computational Biology

introductory book on bioinformatics and computational biology for undergraduate and graduate students in the life sciences, botany, zoology, physiology;

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Bioinformatics

. The function of bioinformatic scientists includes biological data storage, retrieval and in silico analysis of the results from large-scale;

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Computational Intelligence Methods for Bioinformatics and Biostatistics

open problems in bioinformatics, biostatistics, systems and synthetic biology, medicalinformatics, computational approaches to life sciences;

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Advances in Bioinformatics and Computational Biology

, medicine, microbiology and other life sciences.;

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Applied Bioinformatics

implementation of online tools, genome databases and software that can benefit scientists and students in the life sciences. Training tutorials with;

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Bioinformatics and Biomedical Engineering

personalized medicine. Part II: Bioinformatics for healthcare and diseases; computational genomics/proteomics; computational systems for;

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In silico epitope prediction for meningococcal vaccine development

of existing computational resources for in silico epitope prediction and immune system modeling with special reference to N. meningitidis serogroup B;

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Applied Directional Statistics

of attention due to demands from disciplines such as life sciences or machine learning, the availability of massive data sets requiring adapted;

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Immunoinformatics

, HLA gene analysis, MHC characterizing, in silico vaccine design, mathematical modeling of host-pathogen interactions, and network analysis;

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The Design and Development of Novel Drugs and Vaccines

The Design and Development of Novel Drugs and Vaccines: Principles and Protocols presents both in silico methods and experimental protocols;

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Practice of Statistics in the Life Sciences

Knowing how to handle data is an important part of succeeding life sciences. But let's face it: this can be an area students find difficult;

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Bioinformatics

unified view of the entire field of biology to be taken and hence offers an excellent entry point into the life sciences for those for whom;

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