An Introduction to Bioinformatics Algorithms

Algorithms and Complexity. Molecular Biology Primer. Exhaustive Search. Greedy Algorithms. Dynamic Programming Algorithms. Divide-and-Conquer Algorithms. Graph Algorithms. Combinatorial Pattern Matching. Clustering and Trees. Hidden Markov Models. Randomized Algorithms.

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  • Author : Neil C. Jones
  • Publisher : MIT Press
  • Pages : 435 pages
  • ISBN : 9780262101066
  • Rating : 4.5/5 from 4 reviews
CLICK HERE TO GET THIS BOOKAn Introduction to Bioinformatics Algorithms

Bioinformatics Algorithms

Bioinformatics Algorithms
  • Author : Phillip Compeau,Pavel Pevzner
  • Publisher : Unknown Publisher
  • 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

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

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

Algorithms in Bioinformatics

Algorithms in Bioinformatics
  • Author : Wing-Kin Sung
  • Publisher : CRC Press
  • Release : 24 November 2009
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

Bioinformatics Algorithms

Bioinformatics Algorithms
  • Author : Phillip Compeau,Pavel Pevzner
  • Publisher : Unknown Publisher
  • 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

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

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

Bioinformatic Algorithms

Bioinformatic Algorithms
  • Author : Miguel Rocha,Pedro G. Ferreira
  • Publisher : Academic Press
  • Release : 01 February 2018
GET THIS BOOKBioinformatic 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 regarding algorithm development and implementation, and will also uncover prototypes of

Structural Bioinformatics

Structural Bioinformatics
  • Author : Forbes J. Burkowski
  • Publisher : CRC Press
  • Release : 30 October 2008
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

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

Algorithms in Bioinformatics

Algorithms in Bioinformatics
  • Author : Roderic Guigo,Dan Gusfield
  • Publisher : Springer Science & Business Media
  • Release : 02 September 2002
GET THIS BOOKAlgorithms in Bioinformatics

We are pleased to present the proceedings of the Second Workshop on Al- rithms in Bioinformatics (WABI 2002), which took place on September 17-21, 2002 in Rome, Italy. The WABI workshop was part of a three-conference me- ing, which, in addition to WABI, included the ESA and APPROX 2002. The three conferences are jointly called ALGO 2002, and were hosted by the F- ulty of Engineering, University of Rome “La Sapienza”. Seehttp://www.dis. uniroma1.it/ ̃algo02 for more details. The Workshop on Algorithms

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