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Bioinformatics Algorithms

Bioinformatics Algorithms
  • Author : Phillip Compeau
  • Publsiher : Anonim
  • Release : 01 June 1986
  • ISBN : 9780990374633
  • Pages : 123 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKBioinformatics Algorithms

Summary:
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
  • Author : Phillip Compeau,Pavel Pevzner
  • Publisher : Anonim
  • Release : 01 June 1986
GET THIS BOOKBioinformatics Algorithms

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

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Bioinformatics Algorithms

Bioinformatics Algorithms
  • Author : Phillip Compeau,Pavel Pevzner
  • Publisher : Anonim
  • Release : 20 May 2014
GET THIS BOOKBioinformatics Algorithms

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

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Bioinformatics Algorithms

Bioinformatics Algorithms
  • Author : Miguel Rocha,Pedro G. Ferreira
  • Publisher : Academic Press
  • Release : 08 June 2018
GET THIS BOOKBioinformatics Algorithms

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

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An Introduction to Bioinformatics Algorithms

An Introduction to Bioinformatics Algorithms
  • Author : Neil C. Jones,Pavel A. Pevzner
  • Publisher : MIT Press
  • Release : 06 August 2004
GET THIS BOOKAn Introduction to Bioinformatics Algorithms

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

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Bioinformatics Algorithms

Bioinformatics Algorithms
  • Author : Ion Mandoiu,Alexander Zelikovsky
  • Publisher : John Wiley & Sons
  • Release : 25 February 2008
GET THIS BOOKBioinformatics Algorithms

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

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Algorithms in Bioinformatics

Algorithms in Bioinformatics
  • Author : Paul A. Gagniuc
  • Publisher : John Wiley & Sons
  • Release : 15 July 2021
GET THIS BOOKAlgorithms in Bioinformatics

ALGORITHMS IN BIOINFORMATICS Explore a comprehensive and insightful treatment of the practical application of bioinformatic algorithms in a variety of fields Algorithms in Bioinformatics: Theory and Implementation delivers a fulsome treatment of some of the main algorithms used to explain biological functions and relationships. It introduces readers to the art of algorithms in a practical manner which is linked with biological theory and interpretation. The book covers many key areas of bioinformatics, including global and local sequence alignment, forced alignment,

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Bioinformatics Algorithms

Bioinformatics Algorithms
  • Author : Ion Mandoiu,Alexander Zelikovsky
  • Publisher : John Wiley & Sons
  • Release : 15 February 2008
GET THIS BOOKBioinformatics Algorithms

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

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Algorithmic Aspects of Bioinformatics

Algorithmic Aspects of Bioinformatics
  • Author : Hans-Joachim Böckenhauer,Dirk Bongartz
  • Publisher : Springer Science & Business Media
  • Release : 06 June 2007
GET THIS BOOKAlgorithmic Aspects of Bioinformatics

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

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Pattern Discovery in Bioinformatics

Pattern Discovery in Bioinformatics
  • Author : Laxmi Parida
  • Publisher : CRC Press
  • Release : 04 July 2007
GET THIS BOOKPattern Discovery in Bioinformatics

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

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Bioinformatics

Bioinformatics
  • Author : N. Gautham
  • Publisher : Alpha Science Int'l Ltd.
  • Release : 26 June 2022
GET THIS BOOKBioinformatics

A textbook which comprehensively explains the basic algorithms in bioinformatics whilst also dealing with structural bioinformatics in greater depth, Bioinformatics: Databases and Algorithms establishes itself as the perfect mid-ground between elementary and advanced levels on the relevent subjects of Bioinformatics

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Multiobjective Genetic Algorithms for Clustering

Multiobjective Genetic Algorithms for Clustering
  • Author : Ujjwal Maulik,Sanghamitra Bandyopadhyay,Anirban Mukhopadhyay
  • Publisher : Springer Science & Business Media
  • Release : 01 September 2011
GET THIS BOOKMultiobjective Genetic Algorithms for Clustering

This is the first book primarily dedicated to clustering using multiobjective genetic algorithms with extensive real-life applications in data mining and bioinformatics. The authors first offer detailed introductions to the relevant techniques – genetic algorithms, multiobjective optimization, soft computing, data mining and bioinformatics. They then demonstrate systematic applications of these techniques to real-world problems in the areas of data mining, bioinformatics and geoscience. The authors offer detailed theoretical and statistical notes, guides to future research, and chapter summaries. The book can

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Introduction to Protein Structure Prediction

Introduction to Protein Structure Prediction
  • Author : Huzefa Rangwala,George Karypis
  • Publisher : John Wiley & Sons
  • Release : 16 March 2011
GET THIS BOOKIntroduction to Protein Structure Prediction

A look at the methods and algorithms used to predict proteinstructure A thorough knowledge of the function and structure of proteinsis critical for the advancement of biology and the life sciences aswell as the development of better drugs, higher-yield crops, andeven synthetic bio-fuels. To that end, this reference sheds lighton the methods used for protein structure prediction and revealsthe key applications of modeled structures. This indispensable bookcovers the applications of modeled protein structures and unravelsthe relationship between pure sequence information

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