Bioinformatics Algorithms

This book PDF is perfect for those who love Electronic Books genre, written by Phillip Compeau and published by Unknown which was released on 01 June 1986 with total hardcover pages null. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Bioinformatics Algorithms books below.

Bioinformatics Algorithms
Bioinformatics Algorithms
Author : Phillip Compeau
File Size : 42,5 Mb
Publisher : Unknown
Language : English
Release Date : 01 June 1986
ISBN : 0990374637
Pages : null pages
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Bioinformatics Algorithms by Phillip Compeau Book PDF 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 by Phillip Compeau,Pavel Pevzner

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.

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Bioinformatics Algorithms

Bioinformatics Algorithms by Miguel Rocha,Pedro G. Ferreira

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

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An Introduction to Bioinformatics Algorithms

An Introduction to Bioinformatics Algorithms by Neil C. Jones,Pavel A. Pevzner

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,

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Bioinformatics Algorithms

Bioinformatics Algorithms by Ion Mandoiu,Alexander Zelikovsky

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

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Algorithms in Bioinformatics

Algorithms in Bioinformatics by Wing-Kin Sung

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

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Bioinformatics Algorithms

Bioinformatics Algorithms by Ion Mandoiu,Alexander Zelikovsky

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

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Algorithmic Aspects of Bioinformatics

Algorithmic Aspects of Bioinformatics by Hans-Joachim Böckenhauer,Dirk Bongartz

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

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Pattern Discovery in Bioinformatics

Pattern Discovery in Bioinformatics by Laxmi Parida

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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