June 20, 2021

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Bioinformatics Algorithms

Bioinformatics Algorithms
Author : Phillip Compeau,Pavel Pevzner
Publisher : Unknown
Release Date : 2015-08-01
Category :
Total pages :129
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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' series of courses 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 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.com) directs readers toward additional educational materials, including video lectures and PowerPoint slides.

An Introduction to Bioinformatics Algorithms

An Introduction to Bioinformatics Algorithms
Author : Neil C. Jones,Pavel A. Pevzner,Pavel Pevzner
Publisher : MIT Press
Release Date : 2004
Category : Computers
Total pages :435
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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.

Bioinformatic Algorithms

Bioinformatic Algorithms
Author : Miguel Rocha,Pedro G. Ferreira
Publisher : Academic Press
Release Date : 2018-02
Category : Technology & Engineering
Total pages :420
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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 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

Bioinformatics Algorithms

Bioinformatics Algorithms
Author : Ion Mandoiu,Alexander Zelikovsky
Publisher : John Wiley & Sons
Release Date : 2008-02-15
Category : Computers
Total pages :520
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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.

Bioinformatics Algorithms

Bioinformatics Algorithms
Author : Miguel Rocha,Pedro G. Ferreira
Publisher : Academic Press
Release Date : 2018-06-08
Category : Technology & Engineering
Total pages :400
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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

Bioinformatics Algorithms

Bioinformatics Algorithms
Author : Ion Mandoiu,Alexander Zelikovsky
Publisher : John Wiley & Sons
Release Date : 2008-02-25
Category : Computers
Total pages :528
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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.

Molecular Bioinformatics

Molecular Bioinformatics
Author : Steffen Schulze-Kremer
Publisher : Walter de Gruyter
Release Date : 1996-01-01
Category : Science
Total pages :315
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Algorithms in Bioinformatics

Algorithms in Bioinformatics
Author : Aaron Darling,Jens Stoye
Publisher : Springer
Release Date : 2013-08-16
Category : Computers
Total pages :378
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This book constitutes the refereed proceedings of the 13th International Workshop on Algorithms in Bioinformatics, WABI 2013, held in Sophia Antipolis, France, in September 2013. WABI 2013 is one of seven workshops which, along with the European Symposium on Algorithms (ESA), constitute the ALGO annual meeting and highlights research in algorithmic work for bioinformatics, computational biology and systems biology. The goal is to present recent research results, including significant work-in-progress, and to identify and explore directions of future research. The 27 full papers presented were carefully reviewed and selected from 61 submissions. The papers cover all aspects of algorithms in bioinformatics, computational biology and systems biology.

Algorithms in Bioinformatics

Algorithms in Bioinformatics
Author : Martin C. Frith,Christian Nørgaard Storm Pedersen
Publisher : Springer
Release Date : 2016-08-09
Category : Computers
Total pages :322
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This book constitutes the refereed proceedings of the 16th International Workshop on Algorithms in Bioinformatics, WABI 2016, held in Aarhus, Denmark. The 25 full papers together with 2 invited talks presented were carefully reviewed and selected from 54 submissions. The selected papers cover a wide range of topics from networks, tophylogenetic studies, sequence and genome analysis, comparative genomics, and mass spectrometry data analysis.

Algorithms in Bioinformatics

Algorithms in Bioinformatics
Author : Ben Raphael,Jijun Tang
Publisher : Springer
Release Date : 2012-08-29
Category : Computers
Total pages :454
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This book constitutes the refereed proceedings of the 12th International Workshop on Algorithms in Bioinformatics, WABI 2012, held in Ljubljana, Slovenia, in September 2012. WABI 2012 is one of six workshops which, along with the European Symposium on Algorithms (ESA), constitute the ALGO annual meeting and focuses on algorithmic advances in bioinformatics, computational biology, and systems biology with a particular emphasis on discrete algorithms and machine-learning methods that address important problems in molecular biology. The 35 full papers presented were carefully reviewed and selected from 92 submissions. The papers include algorithms for a variety of biological problems including phylogeny, DNA and RNA sequencing and analysis, protein structure, and others.

Algorithms in Bioinformatics

Algorithms in Bioinformatics
Author : Gary Benson,Roderic Page
Publisher : Springer Science & Business Media
Release Date : 2003-09-09
Category : Science
Total pages :534
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This book constitutes the refereed proceedings of the Third International Workshop on Algorithms in Bioinformatics, WABI 2003, held in Budapest, Hungary, in September 2003. The 36 revised full papers presented were carefully reviewed and selected from 78 submissions. The papers are organized in topical sections on comparative genomics, database searching, gene finding and expression, genome mapping, pattern and motif discovery, phylogenetic analysis, polymorphism, protein structure, sequence alignment, and string algorithms.

Algorithms in Bioinformatics

Algorithms in Bioinformatics
Author : Philipp Bücher,Bernard M.E. Moret
Publisher : Springer Science & Business Media
Release Date : 2006-08-30
Category : Computers
Total pages :402
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Here are the refereed proceedings of the 6th International Workshop on Algorithms in Bioinformatics, WABI 2006, held in the course of the ALGO 2006 conference meetings. The book presents 36 revised full papers addressing all current issues of algorithms in bioinformatics, from mathematical tools to experimental studies of approximation algorithms and reports on significant computational analyses. For the first time, coverage extends to machine-learning approaches along with combinatorial optimization.

WALCOM: Algorithms and Computation

WALCOM: Algorithms and Computation
Author : Shin-ichi Nakano,Md. Saidur Rahman
Publisher : Springer Science & Business Media
Release Date : 2008-01-23
Category : Computers
Total pages :239
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This book constitutes the refereed proceedings of the Second International Workshop on Algorithms and Computation, WALCOM 2008. It covers bioinformatics algorithms, computational geometry and graph drawing, graph algorithms, and algorithm engineering.

Bioinformatics Algorithms

Bioinformatics Algorithms
Author : C. Kuppuswamy
Publisher : Unknown
Release Date : 2007
Category : Bioinformatics
Total pages :299
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Algorithms in Bioinformatics

Algorithms in Bioinformatics
Author : Rita Casadio
Publisher : Springer Science & Business Media
Release Date : 2005-09-27
Category : Computers
Total pages :436
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This book constitutes the refereed proceedings of the 5th International Workshop on Algorithms in Bioinformatics, WABI 2005, held in Mallorca, Spain, in September 2005 as part of the ALGO 2005 conference meetings. The 34 revised full papers presented were carefully reviewed and selected from 95 submissions. All current issues of algorithms in bioinformatics are addressed with special focus on statistical and probabilistic algorithms in the field of molecular and structural biology. The papers are organized in topical sections on expression (hybrid methods and time patterns), phylogeny (quartets, tree reconciliation, clades and haplotypes), networks, genome rearrangements (transposition model and other models), sequences (strings, multi-alignment and clustering, clustering and representation), and structure (threading and folding).