An Introduction To Bioinformatics Algorithms
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Author |
: Neil C. Jones |
Publisher |
: MIT Press |
Total Pages |
: 460 |
Release |
: 2004-08-06 |
ISBN-10 |
: 0262101068 |
ISBN-13 |
: 9780262101066 |
Rating |
: 4/5 (68 Downloads) |
Synopsis An Introduction to Bioinformatics Algorithms by : Neil C. Jones
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.
Author |
: Phillip Compeau |
Publisher |
: |
Total Pages |
: |
Release |
: 1986-06 |
ISBN-10 |
: 0990374637 |
ISBN-13 |
: 9780990374633 |
Rating |
: 4/5 (37 Downloads) |
Synopsis Bioinformatics Algorithms by : Phillip Compeau
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.
Author |
: Wing-Kin Sung |
Publisher |
: CRC Press |
Total Pages |
: 408 |
Release |
: 2009-11-24 |
ISBN-10 |
: 9781420070347 |
ISBN-13 |
: 1420070347 |
Rating |
: 4/5 (47 Downloads) |
Synopsis 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
Author |
: Ion Mandoiu |
Publisher |
: John Wiley & Sons |
Total Pages |
: 528 |
Release |
: 2008-02-25 |
ISBN-10 |
: 9780470097731 |
ISBN-13 |
: 0470097736 |
Rating |
: 4/5 (31 Downloads) |
Synopsis Bioinformatics Algorithms by : Ion Mandoiu
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.
Author |
: Miguel Rocha |
Publisher |
: Academic Press |
Total Pages |
: 402 |
Release |
: 2018-06-08 |
ISBN-10 |
: 9780128125212 |
ISBN-13 |
: 0128125217 |
Rating |
: 4/5 (12 Downloads) |
Synopsis Bioinformatics Algorithms by : Miguel Rocha
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
Author |
: N. Gautham |
Publisher |
: Alpha Science Int'l Ltd. |
Total Pages |
: 268 |
Release |
: 2006 |
ISBN-10 |
: 1842653008 |
ISBN-13 |
: 9781842653005 |
Rating |
: 4/5 (08 Downloads) |
Synopsis Bioinformatics by : N. Gautham
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.
Author |
: Hans-Joachim Böckenhauer |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 395 |
Release |
: 2007-06-06 |
ISBN-10 |
: 9783540719137 |
ISBN-13 |
: 354071913X |
Rating |
: 4/5 (37 Downloads) |
Synopsis Algorithmic Aspects of Bioinformatics by : Hans-Joachim Böckenhauer
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.
Author |
: Forbes J. Burkowski |
Publisher |
: CRC Press |
Total Pages |
: 444 |
Release |
: 2008-10-30 |
ISBN-10 |
: 9781420011791 |
ISBN-13 |
: 1420011790 |
Rating |
: 4/5 (91 Downloads) |
Synopsis Structural Bioinformatics by : Forbes J. Burkowski
The Beauty of Protein Structures and the Mathematics behind Structural BioinformaticsProviding 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 Biolog
Author |
: Arthur M. Lesk |
Publisher |
: |
Total Pages |
: 433 |
Release |
: 2019 |
ISBN-10 |
: 9780198794141 |
ISBN-13 |
: 0198794142 |
Rating |
: 4/5 (41 Downloads) |
Synopsis Introduction to Bioinformatics by : Arthur M. Lesk
Lesk provides an accessible and thorough introduction to a subject which is becoming a fundamental part of biological science today. The text generates an understanding of the biological background of bioinformatics.
Author |
: Michael S. Waterman |
Publisher |
: CRC Press |
Total Pages |
: 456 |
Release |
: 2018-05-02 |
ISBN-10 |
: 9781351437080 |
ISBN-13 |
: 1351437089 |
Rating |
: 4/5 (80 Downloads) |
Synopsis Introduction to Computational Biology by : Michael S. Waterman
Biology is in the midst of a era yielding many significant discoveries and promising many more. Unique to this era is the exponential growth in the size of information-packed databases. Inspired by a pressing need to analyze that data, Introduction to Computational Biology explores a new area of expertise that emerged from this fertile field- the combination of biological and information sciences. This introduction describes the mathematical structure of biological data, especially from sequences and chromosomes. After a brief survey of molecular biology, it studies restriction maps of DNA, rough landmark maps of the underlying sequences, and clones and clone maps. It examines problems associated with reading DNA sequences and comparing sequences to finding common patterns. The author then considers that statistics of pattern counts in sequences, RNA secondary structure, and the inference of evolutionary history of related sequences. Introduction to Computational Biology exposes the reader to the fascinating structure of biological data and explains how to treat related combinatorial and statistical problems. Written to describe mathematical formulation and development, this book helps set the stage for even more, truly interdisciplinary work in biology.