Bioinformatics Algorithms

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  • Publisher : Unknown
  • Release : 01 June 1986
  • ISBN : 0990374637
  • Page : 103 pages
  • Rating : 4.5/5 from 103 voters

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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.

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Bioinformatics Algorithms

Bioinformatics Algorithms
  • Author : Phillip Compeau,Pavel Pevzner
  • Publisher : Unknown
  • Release Date : 1986-06
  • ISBN : 0990374637
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

Bioinformatics Algorithms

Bioinformatics Algorithms
  • Author : Phillip Compeau,Pavel Pevzner
  • Publisher : Unknown
  • Release Date : 2014-05-20
  • ISBN : 0990374602
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

Bioinformatics Algorithms

Bioinformatics Algorithms
  • Author : Phillip Compeau
  • Publisher : Unknown
  • Release Date : 2015
  • ISBN : OCLC:947030152
GET THIS BOOKBioinformatics Algorithms

Bioinformatics Algorithms

Bioinformatics Algorithms
  • Author : Miguel Rocha,Pedro G. Ferreira
  • Publisher : Academic Press
  • Release Date : 2018-06-08
  • ISBN : 9780128125212
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

Algorithms in Bioinformatics

Algorithms in Bioinformatics
  • Author : Wing-Kin Sung
  • Publisher : CRC Press
  • Release Date : 2009-11-24
  • ISBN : 9781420070347
GET THIS BOOKAlgorithms in Bioinformatics

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

An Introduction to Bioinformatics Algorithms

An Introduction to Bioinformatics Algorithms
  • Author : Neil C. Jones,Pavel A. Pevzner
  • Publisher : MIT Press
  • Release Date : 2004-08-06
  • ISBN : 0262101068
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

Algorithms in Bioinformatics

Algorithms in Bioinformatics
  • Author : Paul A. Gagniuc
  • Publisher : John Wiley & Sons
  • Release Date : 2021-07-15
  • ISBN : 9781119697992
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,

Bioinformatics Algorithms

Bioinformatics Algorithms
  • Author : Ion Mandoiu,Alexander Zelikovsky
  • Publisher : John Wiley & Sons
  • Release Date : 2008-02-25
  • ISBN : 9780470097731
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

Bioinformatics Algorithms

Bioinformatics Algorithms
  • Author : Ion Mandoiu,Alexander Zelikovsky
  • Publisher : John Wiley & Sons
  • Release Date : 2008-02-15
  • ISBN : 0470253428
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

Pattern Discovery in Bioinformatics

Pattern Discovery in Bioinformatics
  • Author : Laxmi Parida
  • Publisher : CRC Press
  • Release Date : 2007-07-04
  • ISBN : 9781420010732
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

Algorithmic Aspects of Bioinformatics

Algorithmic Aspects of Bioinformatics
  • Author : Hans-Joachim Böckenhauer,Dirk Bongartz
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-06-06
  • ISBN : 9783540719137
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

Bioinformatics

Bioinformatics
  • Author : N. Gautham
  • Publisher : Alpha Science Int'l Ltd.
  • Release Date : 2006
  • ISBN : 1842653008
GET THIS BOOKBioinformatics

This text features detailed descriptions of methods of bio molecular sequence and structure analyses of interest to students and practitioners of bioinformatics both in the corporate and academic sectors.

Molecular Bioinformatics

Molecular Bioinformatics
  • Author : Steffen Schulze-Kremer
  • Publisher : Walter de Gruyter
  • Release Date : 1996-01-01
  • ISBN : 9783110808919
GET THIS BOOKMolecular Bioinformatics

Structural Bioinformatics

Structural Bioinformatics
  • Author : Forbes J. Burkowski
  • Publisher : CRC Press
  • Release Date : 2008-10-30
  • ISBN : 9781420011791
GET THIS BOOKStructural Bioinformatics

The Beauty of Protein Structures and the Mathematics behind Structural Bioinformatics Providing the framework for a one-semester undergraduate course, Structural Bioinformatics: An Algorithmic Approach shows how to apply key algorithms to solve problems related to macromolecular structure. Helps Students Go Further in Their Study of Structural Biology Following some introductory material in the first few chapters, the text solves the longest common subsequence problem using dynamic programming and explains the science models for the Nussinov and MFOLD algorithms. It then

Multiobjective Genetic Algorithms for Clustering

Multiobjective Genetic Algorithms for Clustering
  • Author : Ujjwal Maulik,Sanghamitra Bandyopadhyay,Anirban Mukhopadhyay
  • Publisher : Springer Science & Business Media
  • Release Date : 2011-09-01
  • ISBN : 9783642166150
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