An Introduction To Bioinformatics Algorithms


An Introduction To Bioinformatics Algorithms
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An Introduction To Bioinformatics Algorithms


An Introduction To Bioinformatics Algorithms
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Author : Neil C. Jones
language : en
Publisher: MIT Press
Release Date : 2004-08-06

An Introduction To Bioinformatics Algorithms written by Neil C. Jones and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-06 with Computers categories.


An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics. This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying algorithms rather than offering a collection of apparently unrelated problems. The book introduces biological and algorithmic ideas together, linking issues in computer science to biology and thus capturing the interest of students in both subjects. It demonstrates that relatively few design techniques can be used to solve a large number of practical problems in biology, and presents this material intuitively. An Introduction to Bioinformatics Algorithms is one of the first books on bioinformatics that can be used by students at an undergraduate level. It includes a dual table of contents, organized by algorithmic idea and biological idea; discussions of biologically relevant problems, including a detailed problem formulation and one or more solutions for each; and brief biographical sketches of leading figures in the field. These interesting vignettes offer students a glimpse of the inspirations and motivations for real work in bioinformatics, making the concepts presented in the text more concrete and the techniques more approachable.PowerPoint presentations, practical bioinformatics problems, sample code, diagrams, demonstrations, and other materials can be found at the Author's website.



Bioinformatics Algorithms


Bioinformatics Algorithms
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Author : Phillip Compeau
language : en
Publisher:
Release Date : 1986-06

Bioinformatics Algorithms written by Phillip Compeau and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986-06 with categories.


Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Online Open Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed online course (http://coursera.org/course/bioinformatics), this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of biology and computer science students alike.Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on Rosalind (http://rosalind.info), an online platform for learning bioinformatics.The textbook website (http://bioinformaticsalgorithms.org) directs readers toward additional educational materials, including video lectures and PowerPoint slides.



Bioinformatics Algorithms


Bioinformatics Algorithms
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Author : Phillip Compeau
language : en
Publisher:
Release Date : 2014-05-20

Bioinformatics Algorithms written by Phillip Compeau and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-20 with Bioinformatics categories.


Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed MOOC on Coursera, this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of both biology and computer science. Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on the Rosalind Bioinformatics Textbook Track. A website augments the textbook by providing additional educational materials, including video lectures and PowerPoint slides.--Book website.



Bioinformatics Algorithms


Bioinformatics Algorithms
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Author : Ion Mandoiu
language : en
Publisher: John Wiley & Sons
Release Date : 2008-02-25

Bioinformatics Algorithms written by Ion Mandoiu and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-25 with Computers categories.


Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers: General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms Algorithms and tools for genome and sequence analysis, including formal and approximate models for gene clusters, advanced algorithms for non-overlapping local alignments and genome tilings, multiplex PCR primer set selection, and sequence/network motif finding Microarray design and analysis, including algorithms for microarray physical design, missing value imputation, and meta-analysis of gene expression data Algorithmic issues arising in the analysis of genetic variation across human population, including computational inference of haplotypes from genotype data and disease association search in case/control epidemiologic studies Algorithmic approaches in structural and systems biology, including topological and structural classification in biochemistry, and prediction of protein-protein and domain-domain interactions Each chapter begins with a self-contained introduction to a computational problem; continues with a brief review of the existing literature on the subject and an in-depth description of recent algorithmic and methodological developments; and concludes with a brief experimental study and a discussion of open research challenges. This clear and approachable presentation makes the book appropriate for researchers, practitioners, and graduate students alike.



Bioinformatics Algorithms


Bioinformatics Algorithms
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Author : Miguel Rocha
language : en
Publisher: Academic Press
Release Date : 2018-06-08

Bioinformatics Algorithms written by Miguel Rocha and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-08 with Technology & Engineering categories.


Bioinformatics Algorithms: Design and Implementation in Python provides a comprehensive book on many of the most important bioinformatics problems, putting forward the best algorithms and showing how to implement them. The book focuses on the use of the Python programming language and its algorithms, which is quickly becoming the most popular language in the bioinformatics field. Readers will find the tools they need to improve their knowledge and skills with regard to algorithm development and implementation, and will also uncover prototypes of bioinformatics applications that demonstrate the main principles underlying real world applications. Presents an ideal text for bioinformatics students with little to no knowledge of computer programming Based on over 12 years of pedagogical materials used by the authors in their own classrooms Features a companion website with downloadable codes and runnable examples (such as using Jupyter Notebooks) and exercises relating to the book



An Introduction To Bioinformatics Algorithms


An Introduction To Bioinformatics Algorithms
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Author : Neil C. Jones
language : en
Publisher: MIT Press
Release Date : 2004-08-06

An Introduction To Bioinformatics Algorithms written by Neil C. Jones and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-08-06 with Computers categories.


An introductory text that emphasizes the underlying algorithmic ideas that are driving advances in bioinformatics. This introductory text offers a clear exposition of the algorithmic principles driving advances in bioinformatics. Accessible to students in both biology and computer science, it strikes a unique balance between rigorous mathematics and practical techniques, emphasizing the ideas underlying algorithms rather than offering a collection of apparently unrelated problems. The book introduces biological and algorithmic ideas together, linking issues in computer science to biology and thus capturing the interest of students in both subjects. It demonstrates that relatively few design techniques can be used to solve a large number of practical problems in biology, and presents this material intuitively. An Introduction to Bioinformatics Algorithms is one of the first books on bioinformatics that can be used by students at an undergraduate level. It includes a dual table of contents, organized by algorithmic idea and biological idea; discussions of biologically relevant problems, including a detailed problem formulation and one or more solutions for each; and brief biographical sketches of leading figures in the field. These interesting vignettes offer students a glimpse of the inspirations and motivations for real work in bioinformatics, making the concepts presented in the text more concrete and the techniques more approachable.PowerPoint presentations, practical bioinformatics problems, sample code, diagrams, demonstrations, and other materials can be found at the Author's website.



Algorithms In Bioinformatics


Algorithms In Bioinformatics
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Author : Wing-Kin Sung
language : en
Publisher: CRC Press
Release Date : 2009-11-24

Algorithms In Bioinformatics written by Wing-Kin Sung and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-11-24 with Computers categories.


Thoroughly Describes Biological Applications, Computational Problems, and Various Algorithmic Solutions Developed from the author's own teaching material, Algorithms in Bioinformatics: A Practical Introduction provides an in-depth introduction to the algorithmic techniques applied in bioinformatics. For each topic, the author clearly details the bi



Algorithmic Aspects Of Bioinformatics


Algorithmic Aspects Of Bioinformatics
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Author : Hans-Joachim Böckenhauer
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-06-06

Algorithmic Aspects Of Bioinformatics written by Hans-Joachim Böckenhauer 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 2007-06-06 with Science categories.


This book introduces some key problems in bioinformatics, discusses the models used to formally describe these problems, and analyzes the algorithmic approaches used to solve them. After introducing the basics of molecular biology and algorithmics, Part I explains string algorithms and alignments; Part II details the field of physical mapping and DNA sequencing; and Part III examines the application of algorithmics to the analysis of biological data. Exciting application examples include predicting the spatial structure of proteins, and computing haplotypes from genotype data. Figures, chapter summaries, detailed derivations, and examples, are provided.



Bioinformatics


Bioinformatics
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Author : Rob Botwright
language : en
Publisher: Rob Botwright
Release Date : 101-01-01

Bioinformatics written by Rob Botwright and has been published by Rob Botwright this book supported file pdf, txt, epub, kindle and other format this book has been release on 101-01-01 with Science categories.


Introducing the Ultimate Bioinformatics Book Bundle! Dive into the world of bioinformatics with our comprehensive book bundle, featuring four essential volumes that cover everything from foundational concepts to advanced applications. Whether you're a student, researcher, or practitioner in the life sciences, this bundle has something for everyone. Book 1: Bioinformatics Basics Get started with the basics of bioinformatics in this introductory volume. Learn about algorithms, concepts, and principles that form the backbone of bioinformatics research. From sequence analysis to genetic variation, this book lays the groundwork for understanding the fundamental aspects of bioinformatics. Book 2: Coding in Bioinformatics Take your skills to the next level with our coding-focused volume. Explore scripting languages like Python and R, and discover how to apply them to bioinformatics tasks. From data manipulation to machine learning, this book covers a wide range of coding techniques and applications in bioinformatics. Book 3: Exploring Data Science in Bioinformatics Delve into the world of data science and its applications in bioinformatics. Learn about exploratory data analysis, statistical inference, and machine learning techniques tailored specifically for biological data. With practical examples and case studies, this book helps you extract meaningful insights from complex datasets. Book 4: Mastering Biostatistics in Bioinformatics Unlock the power of biostatistics with our advanced methods volume. Explore cutting-edge statistical techniques for analyzing biological data, including survival analysis, meta-analysis, and more. Whether you're conducting experimental studies or analyzing clinical data, this book equips you with the tools you need to draw meaningful conclusions. Why Choose Our Bundle? · Comprehensive Coverage: Covering everything from basic concepts to advanced methods, this bundle provides a complete overview of bioinformatics. · Practical Focus: With hands-on coding exercises and real-world examples, our books emphasize practical skills and applications. · Expert Authors: Authored by experts in the field of bioinformatics, each book offers valuable insights and expertise. · Versatile Learning: Whether you're a beginner or an experienced practitioner, our bundle caters to learners of all levels. Don't miss out on this opportunity to enhance your skills and knowledge in bioinformatics. Order your copy of the Bioinformatics Book Bundle today!



Pattern Discovery In Bioinformatics


Pattern Discovery In Bioinformatics
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Author : Laxmi Parida
language : en
Publisher: CRC Press
Release Date : 2007-07-04

Pattern Discovery In Bioinformatics written by Laxmi Parida and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-07-04 with Computers categories.


The computational methods of bioinformatics are being used more and more to process the large volume of current biological data. Promoting an understanding of the underlying biology that produces this data, Pattern Discovery in Bioinformatics: Theory and Algorithms provides the tools to study regularities in biological data. Taking a systema