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Principles Of Computational Biology And Genome Analysis


Principles Of Computational Biology And Genome Analysis
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Principles Of Computational Biology And Genome Analysis


Principles Of Computational Biology And Genome Analysis
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Author : Daniel McGuire
language : en
Publisher:
Release Date : 2017-06-21

Principles Of Computational Biology And Genome Analysis written by Daniel McGuire and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-06-21 with Computers categories.


Genome analysis has changed the way biological and anthropological evolution has been perceived. Computational analysis of genetic data has made it possible for the creation of speculative models that can predict possible evolutionary patterns while taking into account natural biological phenomena such as aging, disease and degeneration of the body. This book on computational biology and genome analysis contributes to the fields of computational neuroscience and computational evolutionary biology. The various studies that are constantly contributing towards advancing technologies and evolution of this field are examined in detail in this text. It elucidates new techniques and their applications in a multidisciplinary approach. This book is a vital tool for all researching or studying computational biology and genome analysis as it gives incredible insights into emerging trends and concepts.



Computational Genome Analysis


Computational Genome Analysis
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Author : Richard C. Deonier
language : en
Publisher: Springer Science & Business Media
Release Date : 2005-12-27

Computational Genome Analysis written by Richard C. Deonier and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-12-27 with Computers categories.


This book presents the foundations of key problems in computational molecular biology and bioinformatics. It focuses on computational and statistical principles applied to genomes, and introduces the mathematics and statistics that are crucial for understanding these applications. The book features a free download of the R software statistics package and the text provides great crossover material that is interesting and accessible to students in biology, mathematics, statistics and computer science. More than 100 illustrations and diagrams reinforce concepts and present key results from the primary literature. Exercises are given at the end of chapters.



Doe Genomics


Doe Genomics
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Author :
language : en
Publisher:
Release Date : 2005

Doe Genomics written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Genomics categories.




Principles And Techniques Of Biochemistry And Molecular Biology


Principles And Techniques Of Biochemistry And Molecular Biology
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Author : Keith Wilson
language : en
Publisher: Cambridge University Press
Release Date : 2005-03-21

Principles And Techniques Of Biochemistry And Molecular Biology written by Keith Wilson and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-03-21 with Medical categories.


New, fully updated edition of bestselling textbook, expanded to include techniques from across the biosciences.



Mathematical Principles In Bioinformatics


Mathematical Principles In Bioinformatics
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Author : Stephen S.-T. Yau
language : en
Publisher: Springer Nature
Release Date : 2024-01-11

Mathematical Principles In Bioinformatics written by Stephen S.-T. Yau and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-11 with Computers categories.


This textbook introduces bioinformatics to students in mathematics with no biology background assumed and it provides solid mathematical tools for biology students along with an understanding of how to implement them in bioinformatics problems. In addition to the basics, the text offers new approaches to understanding biological sequences. The concise presentation distinguishes itself from others on the subject, discussing and providing principles that relate to current open problems in bioinformatics as well as considering a variety of models. The convex hull principle is highlighted, opening a new interdisciplinary research area at the intersection of biology, mathematics, and computer science. Prerequisites include first courses in linear algebra, probability and statistics, and mathematical analysis. Researchers in mathematics, biology, and math-biology, will also find aspects of this text useful. This textbook is written based on the authors' research works that have been published in various journals along with the lecture notes used when teaching bioinformatics courses at the University of Illinois at Chicago and at Tsinghua University. The content may be divided into two parts. The first part includes three chapters, introducing some basic concepts. Chapter 1 provides biological background in molecular biology for mathematicians. Chapter 2 describes biological databases that are commonly used. Chapter 3 is concerned with alignment methods including global/local alignment, heuristic alignment, and multiple alignment. The second part consisting of five chapters, describes several bioinformatics principles using a rigorous mathematical formulation. Chapter 4 introduces the time-frequency spectral principle and its applications in bioinformatics. In Chapters 5 and 6, two strategies are used, the graphical representation and the natural vector method, to represent biological sequences, and conduct sequence comparison and phylogenetic analysis without alignment. Chapter 7 presents the convex hull principle and shows how it can be used to mathematically determine whether a certain amino acid sequence can be a protein. The last chapter summarizes additional mathematical ideas relating to sequence comparisons, such as new feature vectors and metrics. This part focuses on the governing principle in biology and provides plenty of alignment-free methods, which cannot be found in any other book.



Principles And Practices Of Plant Genomics Volume 3


Principles And Practices Of Plant Genomics Volume 3
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Author : Chittaranjan Kole
language : en
Publisher: CRC Press
Release Date : 2016-04-19

Principles And Practices Of Plant Genomics Volume 3 written by Chittaranjan Kole and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-19 with Science categories.


This book presents the basic and applied aspects of sequencing of genes and genomes and their implication in the fine-scale elucidation of the plant genomes. The third volume presents an overview on the advances of plant genomics made in the past century; deliberations on the genomics resources; concepts, tools, strategies, and achievements of



Encyclopedia Of Bioinformatics And Computational Biology


Encyclopedia Of Bioinformatics And Computational Biology
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Author :
language : en
Publisher: Elsevier
Release Date : 2018-08-21

Encyclopedia Of Bioinformatics And Computational Biology written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-08-21 with Medical categories.


Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics, Three Volume Set combines elements of computer science, information technology, mathematics, statistics and biotechnology, providing the methodology and in silico solutions to mine biological data and processes. The book covers Theory, Topics and Applications, with a special focus on Integrative –omics and Systems Biology. The theoretical, methodological underpinnings of BCB, including phylogeny are covered, as are more current areas of focus, such as translational bioinformatics, cheminformatics, and environmental informatics. Finally, Applications provide guidance for commonly asked questions. This major reference work spans basic and cutting-edge methodologies authored by leaders in the field, providing an invaluable resource for students, scientists, professionals in research institutes, and a broad swath of researchers in biotechnology and the biomedical and pharmaceutical industries. Brings together information from computer science, information technology, mathematics, statistics and biotechnology Written and reviewed by leading experts in the field, providing a unique and authoritative resource Focuses on the main theoretical and methodological concepts before expanding on specific topics and applications Includes interactive images, multimedia tools and crosslinking to further resources and databases



Comprehensive Biotechnology


Comprehensive Biotechnology
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Author :
language : en
Publisher: Elsevier
Release Date : 2019-07-17

Comprehensive Biotechnology written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-17 with Science categories.


Comprehensive Biotechnology, Third Edition, Six Volume Set unifies, in a single source, a huge amount of information in this growing field. The book covers scientific fundamentals, along with engineering considerations and applications in industry, agriculture, medicine, the environment and socio-economics, including the related government regulatory overviews. This new edition builds on the solid basis provided by previous editions, incorporating all recent advances in the field since the second edition was published in 2011. Offers researchers a one-stop shop for information on the subject of biotechnology Provides in-depth treatment of relevant topics from recognized authorities, including the contributions of a Nobel laureate Presents the perspective of researchers in different fields, such as biochemistry, agriculture, engineering, biomedicine and environmental science



Bioinformatics For Systems Biology


Bioinformatics For Systems Biology
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Author : Stephen Krawetz
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-12-11

Bioinformatics For Systems Biology written by Stephen Krawetz and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-12-11 with Science categories.


Bioinformatics for Systems Biology bridges and unifies many disciplines. It presents the life scientist, computational biologist, and mathematician with a common framework. Only by linking the groups together may the true life sciences revolution move forward.



Analyzing High Dimensional Gene Expression And Dna Methylation Data With R


Analyzing High Dimensional Gene Expression And Dna Methylation Data With R
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Author : Hongmei Zhang
language : en
Publisher: CRC Press
Release Date : 2020-05-14

Analyzing High Dimensional Gene Expression And Dna Methylation Data With R written by Hongmei Zhang and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-05-14 with Computers categories.


Analyzing high-dimensional gene expression and DNA methylation data with R is the first practical book that shows a ``pipeline" of analytical methods with concrete examples starting from raw gene expression and DNA methylation data at the genome scale. Methods on quality control, data pre-processing, data mining, and further assessments are presented in the book, and R programs based on simulated data and real data are included. Codes with example data are all reproducible. Features: • Provides a sequence of analytical tools for genome-scale gene expression data and DNA methylation data, starting from quality control and pre-processing of raw genome-scale data. • Organized by a parallel presentation with explanation on statistical methods and corresponding R packages/functions in quality control, pre-processing, and data analyses (e.g., clustering and networks). • Includes source codes with simulated and real data to reproduce the results. Readers are expected to gain the ability to independently analyze genome-scaled expression and methylation data and detect potential biomarkers. This book is ideal for students majoring in statistics, biostatistics, and bioinformatics and researchers with an interest in high dimensional genetic and epigenetic studies.